Twenty-Ninth AAAI Conference on Artificial Intelligence Twenty-Seventh Conference on Innovative Applications of Artificial Intelligence
AAAI-15 / IAAI-15 Conference Program January 25 – 30, 2015 Hyatt Regency Austin, Austin, Texas, USA
Sponsored by the Association for the Advancement of Artificial Intelligence Cosponsored by the National Science Foundation, AI Journal, Baidu, Infosys, Microsoft Research, BigML, Disney Research, Google, NSERC Canadian Field Robotics Network, University of Southern California/Information Sciences Institute, Yahoo Labs!, ACM/SIGAI, CRA Computing Community Consortium, and David E. Smith In cooperation with the University of Texas at Austin Computer Science Department, IEEE Robotics and Automation Society, and the RoboCup Federation
MORNING
AFTERNOON
EVENING
Sunday, January 25 Tutorial Forum Workshops / NSF Workshop AAAI/SIGAI DC
Student Newcomer Lunch Tutorial Forum Workshops / NSF Workshop AAAI/SIGAI DC
Monday, January 26 Tutorial Forum Workshops AAAI/SIGAI DC Open House Robotics / RoboCup
Tutorial Forum Workshops AAAI/SIGAI DC Open House Invited Talks Robotics / RoboCup
Speed Dating Opening Reception
Tuesday, January 27 AAAI / IAAI Welcome / AAAI Awards Invited Talks: Bagnell and Etzioni AAAI / IAAI Technical Program Funding Information Session Robotics / RoboCup / Exhibits
AAAI / IAAI Technical Program Senior Member Blue Sky / What’s Hot Talks / RSS Talks Robotics / RoboCup / Exhibits General Game Playing
Shaky Celebration Poster / Demo Session 1 Doctoral Consortium, Virtual Agent Demos Robotics Demos Fellows Dinner
Wednesday, January 28 Women’s Mentoring Breakfast AAAI / IAAI Technical Program Senior Member Blue Sky / What’s Hot Talks Classic Paper / Robotics Students Robotics / Exhibits
Student Abstract Poster Ads / Lunch with a Fellow AAAI / IAAI Technical Program Invited Talks: Hinton and Ghani Senior Member Summary Talks General Game Playing Robotics / Exhibits
AAAI Community Meeting Poster / Demo Session 2 Student Abstract Posters Games Showcase, Robotics Demos Easily Accessible Papers Game Night
Thursday, January 29 Invited Talks: Sellmann
AAAI / IAAI Technical Program What’s Hot Talks
Student Abstract Poster Ads / Lunch with a Fellow AI Video Competition Awards AAAI / IAAI Technical Program RSS / Robotics Student Talks
Robotics / Exhibits
General Game Playing Robotics / Exhibits
Friday, January 30 Invited Talks: Getoor and Bowling AAAI-15 Awards Ceremony AAAI / Technical Program Senior Member Summary Talks 2 CONFERENCE AT A GLANCE
Debate on Autonomous Weapons Poster / Demo Session 3 Student Abstract Posters Games Showcase Easily Accessible Papers Robotics Demos
Contents Sponsoring Organizations
Acknowledgments / 3-4 AI Video Competition / 12
AAAI gratefully acknowledges the generous contributions of the following organizations and individuals to AAAI-15:
Awards / 4-5
Platinum Sponsor
Conference at a Glance / 2
National Science Foundation AI Journal Baidu
Debate on Autonomous Weapons / 6 Doctoral Consortium / 9, 18
Gold Sponsor
Exhibition / 12–14
Infosys
Funding Information Session / 6 Games Night / 10
Silver Sponsor
Games Showcase / 10
Microsoft Research
IAAI-15 Program / 15-26 Invited Presentations / 8 Maps / 18, 21, 23, 25 Open House / 10 Poster / Demo Sessions / 5, 18 , 23, 28
Bronze Sponsors BigML Disney Research Google NSERC Canadian Field Robotics Network (NCFRN) University of Southern California/Information Sciences Institute Yahoo Labs!
Registration / 14
General Sponsors
Robotics Events / 11
ACM/SIGAI CRA Computing Community Consortium (CCC) David E. Smith
Senior Member / Blue Sky Program / 5, 8 Shakey Celebration / 6 Social Events / 5 Special Events / 6
In Cooperation Organizations University of Texas at Austin Computer Science Department IEEE Robotics and Automation Society (RAS) RoboCup Federation
Special Meetings / 6 Speed Dating / 5
Acknowledgments
Sponsors / 3, 12-14
Talk Length Key / 15
The Association for the Advancement of Artificial Intelligence acknowledges and thanks the following individuals for their generous contributions of time and energy to the successful creation and planning of the Twenty-Ninth AAAI Conference on Artificial Intelligence and the Twenty-Seventh Conference on Innovative Applications of Artificial Intelligence. (A complete listing of the AAAI-15 and IAAI-15 Program Committee members appears in the conference proceedings.)
Technical Program / 15-28
AAAI Conference Committee
AI and the Web Track Cochairs
Tutorial Forum / 7
AAAI Conference Committee Chair
Virtual Agents Demos / 18
Shlomo Zilberstein (University of Massachusetts Amherst, USA)
Axel Polleres (Vienna University of Economics and Business, Austria) Pascal Hitzler (Wright State University, USA)
What’s Hot Talks / 8
AAAI-15 Program Cochairs
Women’s Mentoring Breakfast / 9
Blai Bonet (Universidad Simón Bolívar, Venezuela) Sven Koenig (University of Southern California, USA)
Student Activities / 9-10 Student Abstracts / 9, 21, 23, 25, 28
Workshop Program / 7
IAAI Chair and Cochair David Gunning (PARC, USA) Peter Z. Yeh (Nuance Communications, USA)
Cognitive Systems Track Cochairs Kenneth Forbus (Northwestern University, USA) Paul Rosenbloom (University of Southern California, USA)
Computational Sustainability Track Cochairs Douglas Fisher (Vanderbilt University, USA) Zico Kolter (Carnegie Mellon University, USA) Barry O'Sullivan (University College Cork, Ireland)
CONTENTS / SPONSORS / ACKNOWLEDGMENTS 3
Integrated Systems Track Cochairs Patrick Doherty (Linkoping University, Sweden) Gal Kaminka (Bar Ilan University, Israel)
Mauro Birattari (Universite Libre de Bruxelles, Belgium)
Virtual Agents Exhibit
Senior Member Track Cochairs
Marc Cavazza (Teesside University, UK)
Ariel Felner (Ben Gurion University, Israel) Jérôme Lang (Université Paris Dauphine, France)
Fundraising Cochairs
What's Hot Cochairs Esra Erdem (Sabanci University, Turkey) Michael Thielscher (University New South Wales, Australia)
Tutorial Cochairs Emma Brunskill (Carnegie Mellon University, USA) Mausam (Indian Institute of Technology, India)
Workshop Cochairs WengKeen Wong (Oregon State University, USA) Daniel Lowd (University of Oregon, USA)
Student Abstract and Poster Cochairs Sriraam Natarajan (Indiana University, USA) Daniele Magazzeni (King's College London, UK) Sebastian Sardina (RMIT, Australia)
Doctoral Consortium Cochairs Matthew Taylor (Washington State University, USA) David L. Roberts (North Carolina State University, USA)
General Student Activities and Outreach Cochairs William Yeoh (New Mexico State University, USA) Nathan Sturtevant (University of Denver, USA)
Women's Mentoring Breakfast Marie desJardins (University of Maryland, Baltimore County, USA) Amy McGovern (University of Oklahoma, USA) Kiri Wagstaff (Jet Propulsion Laboratory, USA)
Demos Chair Carlos Linares Lopez (Universidad Carlos III de Madrid, Spain)
Robotics Cochairs George Konidaris (Massachusetts Institute of Technology, USA) Brad Knox (Massachusetts Institute of Technology, USA) Nick Hawes (University of Birmingham, UK)
Vasant Honavar (Penn State University, USA) Sandip Sen (The University of Tulsa, USA)
Publicity and Social Media Chair Yixin Chen (Washington University in St. Louis, USA)
Funding Information Session Cochairs Berthe Choueiry (University of Nebraska-Lincoln, USA) Sandip Sen (University of Tulsa, USA)
Debate on Autonomous Weapons Cochairs Stuart Russell (University of California, Berkeley, USA) Toby Walsh (NICTA and University of New South Wales, Australia)
AAAI-15 Advisory Board Carla E. Brodley (Northeastern University, USA) Marie desJardins (University of Maryland, Baltimore County, USA) Jörg Hoffmann (Saarland University, Germany) Michael Littman (Brown University, USA) Bart Selman (Cornell University) Peter Stone (University of Texas at Austin, USA)
Awards AAAI Special Awards and honors will be presented Tuesday, January 27, 8:30 – 8:55 am, in Zilker Ballroom on the first level of the Hyatt Regency Austin. AAAI-15 Awards will be presented on Friday, January 30, 9:50 – 10:00 AM in the same location.
AAAI Special Awards and Honors AAAI Honors and Special Awards will be presented by Manuela Veloso, Awards Committee Chair and AAAI Past President, Thomas Dietterich, AAAI President, and Subbarao Kambhampati, AAAI President-Elect.
2015 AAAI Fellows Recognition
Ben Kuipers (University of Michigan, USA)
Each year, the Association for the Advancement of Artificial Intelligence recognizes a small number of members who have made significant sustained contributions to the field of artificial intelligence, and who have attained unusual distinction in the profession. AAAI is pleased to announce the five newly elected Fellows for 2015, who will be honored during the annual Fellows dinner on Tuesday, January 27:
Peter Stone (University of Texas, Austin, USA) Daniel Lee (University of Pennsylvania, USA)
Computer Game Showcase Robert Holte (University of Alberta, Canada) Ryan Hayward (University of Alberta, Canada) Nathan Sturtevant (University of Denver, USA) Martin Mueller (University of Alberta, Canada)
General Game-Playing Competition Bertrand Decoster (Stanford University, USA) Michael Genesereth (Stanford University, USA)
Rama Chellappa (University of Maryland) Marco Dorigo (Université Libre de Bruxelles) Holger H. Hoos (University of British Columbia) Adele E. Howe (Colorado State University) Thorsten Joachims (Cornell University)
Video Competition Cochairs
Senior Member Recognition
Sabine Hauert (Massachusetts Institute of Technology, USA)
AAAI is pleased to announce the 2015 AAAI senior members, who are being recognized for their long-
4 ACKNOWLEDGEMENTS, AWARDS
Susan Craw (Robert Gordon University, UK) Stan Franklin (University of Memphis, USA) Yong Gao (University of British Columbia Okanagan, Canada) Helen M. Gigley, Ph.D. (Central Intelligence Agency (retired), USA) David B. Leake (Indiana University, USA) Mausam (Indian Institute of Technology Delhi, India) Yi L. Murphey (University of Michigan Dearborn, USA) Leo J. Obrst (The MITRE Corporation, USA) Doina Precup (McGill University, Canada) David S. Touretzky (Carnegie Mellon University, USA) Franz Wotawa (Technische Universität Graz, Austria)
Classic Paper Award The 2015 AAAI Classic Paper award honors the following authors of paper(s) deemed most influential from the Fourteenth National Conference on Artificial Intelligence, held in 1997 in Providence, Rhode Island, USA.
2015 AAAI Classic Paper Award Statistical Parsing with a Context-Free Grammar and Word Statistics Eugene Charniak For significant contributions to sentence parsing and language models based on probabilities of possible alternative parses.
The Classic Paper Award recipient Eugene Charniak will present a talk on Wednesday, January 28, at 9:20 am, Texas Ballroom I, second level.
Honorable Mention
Shakey Celebration Chair RoboCup Exhibition Cochairs
term participation in AAAI and their distinction in the field of artificial intelligence.
Using CSP Look-Back Techniques to Solve RealWorld SAT Instances Roberto J. Bayardo Jr. and Robert C. Schrag For significant contributions to enhance proof procedures for propositional satisfiability on large instances of real-world problems.
2015 Distinguished Service Award The AAAI Distinguished Service award recognizes one individual each year for extraordinary service to the AI community. The 2015 recipient is Kenneth M. Ford, Florida Institute for Human and Machine Cognition, who is being recognized for his outstanding contributions to the field of artificial intelligence through sustained service, including the founding of the Florida Institute for Human and Machine Cognition (IHMC), leadership roles at NASA, and his work on the advisory boards of federal science and technology research organizations
2015 Feigenbaum Prize The AAAI Feigenbaum Prize was established to recognize and encourage outstanding artificial intelligence research advances that are made by using experimental methods of computer science. The 2015 prize is being awarded to the Eric J. Horvitz, Microsoft Research, for sustained and high-impact contributions to the field of artificial intelligence through the development of computational models of perception, reflection and action, and their application in time-critical decision making, and intelligent information, traffic and healthcare systems. The Feigenbaum Prize is supported by a grant from the Feigenbaum Nii Foundation.
IAAI-15 Deployed Applications Awards The six IAAI-15 Deployed Application Awards will be announced during the Opening Ceremony on Tuesday, January 27 by IAAI-15 Chair David Gunning and Cochair Peter Yeh. Certificates will be presented during paper sessions. Activity Planning for a Lunar Orbital Mission John L. Bresina
Robust System for Identifying Procurement Fraud Amit Dhurandhar, Rajesh Ravi, Bruce Graves, Gopikrishnan Maniachari, Markus Ettl
Position Assignment on an Enterprise Level Using Combinatorial Optimization
Social Events Opening Reception The AAAI-15 Opening Reception will be held Monday, January 26, 6:00 – 8:30 PM in the Gates-Dell Complex of the Computer Science Department at the University of Texas at Austin. In addition to the traditional opportunity to socialize, some lab tours will be available during the course of the evening. A variety of heavy hors d’oeuvres and one complimentary beverage will be served. A no-host bar will also be available. Admittance to the reception is included in the AAAI-15 technical registration. A $55.00 per person fee ($30.00 for children) will be charged for guests and other nontechnical conference registrants. AAAI has arranged for transportation to and from the reception. The first shuttle will depart from the curb in front of the main hotel entrance at 5:30 PM. (Participants in the speed dating event will be able to board shuttles to the event at 7:15 PM.) The final shuttle to the hotel will depart from the reception at 9:00 PM.
Leonard Kinnaird-Heether, Chris Dorman
Graph Analysis for Detecting Fraud, Waste, and Abuse in Healthcare Data Juan Liu, Eric Bier, Aaron Wilson, Tomo Honda, Sricharan Kumar, Leilani Gilpin, John Guerra-Gomez, Daniel Davies
Planned Protest Modeling in News and Social Media Sathappan Muthiah, Bert Huang, Jaime Arredondo, David Mares, Lise Getoor, Graham Katz, Naren Ramakrishnan
Process Diagnosis System (PDS) - A 30 Year History Edward D Thompson, Ethan Frolich, James C Bellows, Benjamin E Bassford, Edward J Skiko, Mark S Fox
AAAI-15 Awards The AAAI-15 Awards will be presented by Program Cochairs Blai Bonet and Sven Koenig.
AAAI-15 Outstanding Paper Award
Poster / Demo Sessions Zilker Ballroom
Tuesday, January 27, 7:15 – 8:45 PM Thursday, January 29, 6:45 – 8:15 PM
Wednesday, January 28, 6:30 – 8:00 PM
Each AAAI-15 poster / demo session will include posters by authors who presented poster ads that day (please see schedule for detail). In addition, a total of 21 technical demos will be divided among the three evening sessions. Tuesday evening will also include Doctoral Consortium posters and Virtual Agents demos. Wednesday and Thursday will include posters by student abstract authors who will present poster ads during the lunchtime session prior to their assigned poster session, as well as the Games Showcase. Robotic exhibits and demos will be held each evening. (For a listing of posters and exhibits, please see the technical schedule and detailed information elsewhere in this guide.) Attendees should also refer to the separate insert in their registration materials for an overview of the technical poster presentations. Additional detail is also available in the online schedule via Guidebook. Poster / Demo sessions will include a supper buffet and a no-host bar. Admittance to the reception is included in the AAAI-15 registration. A $35.00 per person fee ($15.00 for children) will be charged for guests and other nontechnical conference registrants per night.
This year, AAAI's Conference on Artificial Intelligence honors the following two papers, which exemplify high standards in technical contribution and exposition by regular and student authors. In addition, the program committee selected one paper for honorable mention in each category, based on their overall high quality and outstanding contribution.
AAAI Speed-Dating
AAAI-15 Outstanding Paper Award
Wednesday, January 28, 8:15 PM – 10:00 PM, Foothills II, 17th Floor. Please see page 10 for more information.
Monday, January 26, 6:00 PM – 7:00 PM, Zilker 3
Meet AAAI attendees from senior researchers to student newcomers! It's sure to be a great opportunity to network, and to receive or give mentoring and career advice. Doors open at 6:00 PM sharp. There will be no admittance after 6:10 PM, and admittance is on a first-come basis.
AAAI Games Night
From Non-Negative to General Operator Cost Partitioning Florian Pommerening, Malte Helmert, Gabriele Röger and Jendrik Seipp
Honorable Mention Predicting the Demographics of Twitter Users from Website Traffic Data Aron Culotta, Nirmal Kumar Ravi, Jennifer Cutler
AAAI-15 Outstanding Student Paper Award Surpassing Human-Level Face Verification Performance on LFW with GaussianFace Chaochao Lu and Xiaoou Tang
Honorable Mention Sparse Bayesian Multiview Learning for Simultaneous Association Discovery and Diagnosis of Alzheimer's Disease Shandian Zhe, Zenglin Xu, Yuan Qi and Peng Yu
AAAI-15 Blue Sky Idea Awards AAAI, in cooperation with the Computing Research Association Computing Community Consortium (CCC), is pleased to present three Blue Sky Awards for papers that present ideas and visions that can stimulate the research community to pursue new directions, such as new problems, new application domains, or new methodologies. The recipients of the Blue Sky Idea travel awards, sponsored by the CCC, are as follows:
Sarit Kraus for Intelligent Agents for Rehabilitation and Care of Disabled and Chronic Patients Michela Milano and Pascal Van Hentenryck for Emerging Architectures for Global System Science Xiaojin Zhu for Machine Teaching: An Inverse Problem to Machine Learning and an Approach toward Optimal Education
Outstanding AAAI-15 Program Committee Members Each year, AAAI recognizes several outstanding program committee and senior program committee members. These individuals have gone above and beyond the expectations for the role, showing exceptional judgment, clarity, knowledgeability, and leadership in reaching a consensus decision.
Outstanding Senior Program Committee Members Vincent Conitzer (Duke University, USA) Robert Holte (University of Alberta, Canada) Francesca Rossi (University of Padova, Italy)
Travis Mandel (University of Washington, USA) Nicholas Mattei (NICTA and UNSW, Australia) Ingo Pill (Graz University of Technology, Austria) Erik Talvitie (Franklin & Marshall College, USA) Paul Vernaza (Carnegie Mellon University, USA) Xinhua Zhang (University of Alberta, Canada)
Audience Participation Awards AAAI-15 will be making their final awards based on your feedback! You will have the opportunity to vote on the following awards during the course of the conference, the votes will be tallied, and the winners will be announced at the AAAI-15 Awards Ceremony at 9:50 AM on Friday, January 30. Stay tuned to the social media channels (see page 9) for more information about how to cast your vote for Best Demonstration, Best Poster, and Video Competition People’s Choice awards.
Undergraduate Student Author Recognition Special recognition certificates will be presented to authors of accepted AAAI-15 technical papers who are currently undergraduate students.
Outstanding Program Committee Members Christopher Amato (Massachusetts Institute of Technology, USA)
AWARDS, SOCIAL EVENTS 5
Special Events / Programs AAAI Funding Information Session Tuesday, January 27, 10:10 – 11:50 am, Texas VII
Following similar events at AAAI-06 and AAAI-13, attendees will have a chance to meet with United States funding agency program directors, who will touch on a variety of topics, such as current targets of funding initiatives and how to increase the success of your funding proposal. They will have suggestions on how to define the scope of your proposal, the type of research targeted, and the expectations for the outcome of the funded project. Panelists will include Iyer Purush (ARO), Benjamin Knott (AFOSR), Hector MunozAvila (NSF), Lynne Parker (NSF), and William Regli (DARPA). The program will conclude with a Q&A session. The session will be chaired by Sandip Sen.
Shakey Celebration Tuesday, January 27, 5:45 – 7:15 PM, Texas Ballroom
Shakey the Robot, conceived fifty years ago, was a seminal contribution to AI. Shakey perceived its world, planned how to achieve a goal, and acted to carry out that plan. This was revolutionary. We gather to celebrate Shakey, and to gain insights into how the AI revolution moves ahead. The Shakey Celebration will include a panel with Ed Feigenbaum, Peter Hart, and Nils Nilsson, along with other highlights of this historic project.
AAAI Community Meeting Wednesday, January 28, 5:30 – 6:30 PM, Texas Ballroom
AAAI welcomes all conference attendees to this inaugural AAAI community meeting, which will also serve as the AAAI Annual Business Meeting. Please join us as we explore current initiatives, and help chart the future course and objectives of AAAI. Moderator: Thomas G. Dietterich, AAAI President
AAAI Debate on Autonomous Weapons
Mankind is facing a step change in how wars will be fought as fully autonomous weapons are in the process of being developed that could be deployed in the field. The United Nations Convention on Certain Conventional Weapons (CCW) is considering an international ban on such weapons. The debate serves as part of a process by which the AI community might form and voice its opinion on such matters. Ronald C. Arkin is a regents' professor, director of the Mobile Robot Laboratory, and associate dean for Research in the College of Computing at Georgia Tech. His research interests include behavior-based reactive control and action-oriented perception for mobile robots and unmanned aerial vehicles, hybrid deliberative/reactive software architectures, robot survivability, multiagent robotic systems, biorobotics, human-robot interaction, robot ethics, and learning in autonomous systems. His latest book is Governing Lethal Behavior in Autonomous Robots. Arkin is the series editor for The MIT Press book series Intelligent Robotics and Autonomous Agents. He has provided expert testimony to the United Nations, the International Committee of the Red Cross, the Pentagon and others on Autonomous Systems Technology. Arkin served on the Board of Governors of the IEEE Society on Social Implications of Technology, the IEEE RAS AdCom, and is founding cochair of IEEE RAS TC on Robot Ethics. He is a distinguished lecturer for the IEEE Society on social implications of technology and a Fellow of the IEEE. Stephen Goose, executive director of Human Rights Watch's Arms Division, was instrumental in bringing about the 2008 convention banning cluster munitions, the 1997 treaty banning antipersonnel mines, the 1995 protocol banning blinding lasers, and the 2003 protocol requiring clean-up of explosive remnants of war. He and Human Rights Watch cofounded the International Campaign to Ban Landmines (ICBL), which received the 1997 Nobel Peace Prize. Goose created the ICBL's Landmine Monitor initiative, the first time that nongovernmental organizations around the world have worked together in a sustained and coordinated way to monitor compliance with an international disarmament or humanitarian law treaty. In 2013, he and Human Rights Watch cofounded the Campaign to Stop Killer Robots. Before joining Human Rights Watch in 1993, Goose was a US congressional staffer and a researcher at the Center for Defense Information. He has a master's degree in International Relations from the Johns Hopkins School of Advanced International Studies and a BA in History from Vanderbilt University.
Panel: Competitions: Do They Help Advance AI Research?
Thursday, July 29, 5:45 PM – 6:45 PM, Texas Ballroom
Thursday, July 29, 9:00 – 9:50 AM, Texas Ballroom
Participants: Ron Arkin (Georgia Institute of Technology) and Stephen Goose (Human Rights Watch) Moderator: Thomas G. Dietterich (Oregon State University), AAAI President
Participants: Michael Bowling (University of Alberta), Koen Hindriks (TU Delft), Claude Sammut (UNSW Australia), and Sven Wachsmuth (Bielefeld University). Moderator: Michael Thielscher (University of New South Wales)
Special Meetings AAAI Community Meeting / Annual Business Meeting Please join us for the AAAI community meeting and annual business meeting! We invite you to join the AAAI Executive Council members, and bring your thoughts and ideas for the future of AAAI! The meeting will be held Wednesday, January 28, 5:30 - 6:30 PM in Texas Ballroom I. Everyone is welcome!
AAAI Conference Committee Meeting AAAI Conference Committee Meeting will be held Thursday, January 29, 7:45 - 8:45 AM, Padre Island, 2nd Level.
AAAI Executive Council Meeting The AAAI Executive Council Meeting will be held Monday, January 26, 9:00 AM - 4:00 PM, Foothills II, 17th Floor. Continental breakfast will be available at 8:30 AM.
AAAI Futures Focus Group The AAAI Futures Focus Group Meeting will be held Thursday, January 29, 10:00 AM – 4:00 PM, Padre Island, 2nd Level.
6 SPECIAL EVENTS AND PROGRAMS AND SPECIAL MEETINGS
AAAI Press Conference The AAAI Press Conference will be held Tuesday, January 27, 11:00 12:00 PM, Padre Island, 2nd Level.
AM
–
AAAI Publications Committee Meeting The AAAI Publications Committee Meeting will be held Wednesday, January 28, 7:45 – 8:45 AM, Padre Island, 2nd Level.
AI Magazine Editorial Board Meeting The AI Magazine Editorial Board Meeting will be held Tuesday, January 27, 12:00 - 1:00 PM, Foothills II, 17th Floor.
IJCAI Executive Board Meeting The IJCAI Executive Board Meeting will be held Wednesday, January 28, 8:30 – 11:30 AM, Foothills II, 17th Floor.
Tutorial Forum AAAI-15 technical registrants may attend 4-5 consecutive tutorials. Tutorials are 4 hours unless noted otherwise.
Sunday, January 25
Sunday, January 25
Monday, January 26
9:00 AM – 1:00 PM
2:00 PM – 6:00 PM
9:00 AM – 1:00 PM
SA1: A Beginner’s Introduction to Heuristic Search Planning Malte Helmert, Gabriele Röger Zilker 2, First Level
SP1: Computing GameTheoretic Solutions Vincent Conitzer Zilker 4, First Level
SA2: Natural Language Processing in Watson James Fan, Ken Barker Zilker 4, First Level (9:00 AM – 12:30 PM)
SP2: Data Analytics with Electronic Health Records Fei Wang Zilker 2, First Level
MA1: AI for Smarter Cities. Hype or Reality?: A Study in Dublin, Bologna, Miami, and Rio Pascal Hitzler, Freddy Lecue, Raghava Mutharaju, Jeff Z. Pan, Jiewen Wu Zilker 4, First Level
SA3: Neuroevolution Reinforcement Learning Risto Miikkulainen Texas I, Second Level SA4: Probabilistic Programming with Figaro Avi Pfeffer, Brian Ruttenberg Texas III, Second Level (9:00 AM – 1 PM, 2 – 4:00 PM)
SP3: How to Be a PhD Student Eugene C. Freuder Texas III, Second Level (4:30 PM – 6:00 PM) SP4: Human-in-the-Loop Planning and Decision Support Subbarao Kambhampati, Kartik Talamadupula Texas I, Second Level
MA2: Constraint-Based Temporal Reasoning Roman Barták, Robert A. Morris, K. Brent Venable Texas III, Second Level MA3: Robocup Dan Lee, Claude Sammut, Luca Iocchi Foothills II, 17th Floor MA4: Submodularity in Machine Learning Applications Jeff Bilmes Texas I, Second Level
Monday, January 26 2:00 PM – 6:00 PM
MP1: Artificial Intelligence and Technological Unemployment Moshe Vardi Texas III, Second Level (2:00 PM – 3:45 PM) MP2: Generalizing Optimization to Equilibration: A New Foundation for AI in the 21st Century Sridhar Mahadevan Zilker 4, First Level MP3: Robot Learning from Demonstration Scott Niekum, Sonia Chernova, Andrea Thomaz Texas I, Second Level MP4: Semantic Parsing with Combinatory Categorial Grammars Yoav Artzi, Nicholas FitzGerald, Luke Zettlemoyer Foothills II, 17th Floor MP5: Voting Rules for AI Toby Walsh, K. Brent Venable, Francesca Rossi Texas III, Second Level (4:15 PM – 6:00 PM)
Workshop Program Registration for a workshop requires a supplemental fee for AAAI-15 technical registrants. Individuals who do not wish to participate in any other AAAI-15 programs or events may elect the workshop only registration fee. Electronic copies of technical report papers have been circulated to preregistrants.
Sunday, January 25
W15: Trajectory-Based Behavior Analytics
W4: Algorithm Configuration
W1: AI and Ethics
Big Bend A/B 9:15 AM – 4:30 PM
Hill Country B 8:45 AM – 6:00 PM
Hill Country A 8:45 AM – 6:00 PM 6:00 PM – 7:00 PM, Texas VI: Joint session with W6
W17: Knowledge, Skill, and Behavior Transfer in Autonomous Robots
W7: Computational Sustainability
W2: AI for Cities
Hill Country D 8:30 AM – 6:00 PM
Hill Country B 8:45 AM – 5:30 PM
NSF-Sponsored Workshop on Research Issues at the Boundary of AI and Robotics
W5: Artificial Intelligence Applied to Assistive Technologies and Smart Environments
Zilker 3, First Level 9:00 AM – 5:00 PM
Hill Country C 8:45 AM – 4:30 PM
W6: Beyond the Turing Test Texas VI (lunch in Texas VII) 8:30 AM – 6:00 PM 6:00 PM – 7:00 PM: Joint session with W1
W12: Planning, Search, and Optimization Texas V 8:30 AM – 6:00 PM
Texas VI 9:00 AM – 5:30 PM
W8: Computer Poker and Imperfect Information Hill Country D 9:45 AM – 5:30 PM
This NSF-Sponsored Workshop is a cooperation between AAAI and the IEEE Robotics and Automation Society that brings together AI and robotics experts to compile a list of recommendations to funding agencies, professional organizations and individual researchers for how to push the boundary of AI and robotics. The resulting road-map will be made available to the public via the world wide web as well as distributed to funding agencies and within AAAI and IEEE RAS. After a community-wide invitation was issued, interested parties were preregistered. No onsite registration is available.
W14: Scholarly Big Data: AI Perspectives, Challenges, and Ideas
Monday, January 26
Big Bend C/D 9:15 AM – 5:00 PM
W3: AI for Transportation: Advice, Interactivity and Actor Modeling Hill Country A 9:00 AM – 5:00 PM
W9: Incentive and Trust in E-Communities Big Bend A/B 9:15 AM – 12:30 PM
W11: Multiagent Interaction without Prior Coordination Hill Country C 9:00 AM – 5:00 PM
W16: World Wide Web and Public Health Intelligence Big Bend C/D 9:00 AM – 5:20 PM
W18: Learning for General Competency in Video Games Texas V 9:00 AM – 5:30 PM
TUTORIAL FORUM, WORKSHOP PROGRAM 7
Invited Talks AAAI-15 and IAAI-15 Invited Talks will be held in two parallel sessions Tuesday, January 27 – Friday, January 30. The times and locations are included below. For special event plenary sessions, please see page 6. Tuesday, 8:30 - 8:55 AM, Zilker Ballroom AAAI-15 / IAAI-15 Welcome and Opening Remarks
AAAI Organizational Awards/Honors AAAI-15 / IAAI-15 Program Chairs
abandoned in the 1990's. I will then describe how ideas from statistical physics were used to make deep learning work much better on small datasets. Finally I will describe how deep learning is now used by Google for speech recognition and object recognition and how it may soon be used for machine translation.
Tuesday, 9:00 AM – 9:50 AM, Texas Ballroom I–III AAAI-15 Invited Talk
Wednesday, 1:40 - 2:30 PM, Texas Ballroom I–III
Artificial Intelligence, Machine Learning and Robotics: Interplay and Interaction
IAAI-15 Invited Talk
Drew Bagnell (Carnegie Mellon University) Introduction by Michael Beetz My talk will focus on theoretical and algorithmic ideas in machine learning and AI, and their origin in problems of robotics. Much of my talk will focus on no-regret online learning methods in machine learning and the critical role of interaction for learning in robotics. I will highlight the tremendous impact robotics has had in identifying key learning problems and suggesting algorithmic techniques; additionally, I'll consider the remarkable tools that have been developed within AI and learning to address hard robotics problems. I'll discuss a variety of machine learning techniques of increasing sophistication from the most familiar classification problems, to structured prediction, and to imitation learning. I will also address how to make reinforcement learning and learning control practical in robotics. Throughout, we will look at case studies in learning dexterous manipulation, activity forecasting of drivers and pedestrians, and imitation learning of robotic locomotion and rough-terrain navigation. These case studies highlight key challenges in applying AI and learning algorithms in practical settings.
Tuesday, 9:00 AM – 9:50 AM, Zilker Ballroom AAAI-15/IAAI-15 Joint Invited Talk
You Can't Play 20 Questions with Nature and Win Oren Etzioni (Allen Institute for Artificial Intelligence) Introduction by David Gunning The machine learning paradigm, and deep learning methods in particular, have achieved phenomenal results in recent years. We need to leverage and extend these methods to address grand AI challenges such as the automated acquisition of common-sense knowledge, and machine reading of text. My talk will describe the ambitious research program at the Allen Institute of AI (AI2), which aims to address these challenges in collaboration with the AI community. I will describe our key projects: Aristo — which learns from textbooks and reasons over learned knowledge to answer standardized test questions, and Semantic Scholar — which aims to utilize AI methods to revolutionize the search for academic papers.
Wednesday, 1:40 - 2:30 PM, Zilker Ballroom AAAI-15 Invited Talk
Deep Learning Geoffrey Hinton (University of Toronto and Google Inc) Introduction by Stuart Russell I will give a brief history of deep learning explaining what it is, what kinds of task it should be good for and why it was largely
8 INVITED SPEAKERS
Data Science for Social Good: Using Your Powers To Make a Social Impact! Rayid Ghani (University of Chicago) Introduction by Peter Yeh The past few years have seen an increasing demand for machine learning/data mining/data science powers. That's wonderful for us data scientists but wouldn't the world be so much better if we also used our computational and analytical powers for social good? In this talk, I'll give examples from work going on around the world to show that there are a lot of important social problems in the world that could use our help — from helping students graduate high school to helping disaster victims to improving health.
Thursday, 9:00 – 9:50 AM, Zilker Ballroom AAAI-15 Invited Talk
Intelligent Decisions Meinolf Sellmann (IBM Thomas J. Watson Research Center) Introduction by Holger H. Hoos At its best intelligence creates aesthetic and beauty, yet from a utilitarian perspective intelligence primarily serves the purpose of making better decisions. Today’s prescriptive decision support systems are most effective when applied to specific recurring operational problems. Recent advances in AI technology have revived the vision of commercially viable cooperative *strategic* decision support systems. These “cognitive systems” integrate information retrieval, knowledge representation, interactive modelling, as well as social and self-learning capabilities with logic reasoning and probabilistic decision making under uncertainty. We provide a snapshot of the current technology status by showcasing several projects that ultimately aim at intelligent human-in-the-loop decision making.
Friday, 9:00 - 9:50 AM, Zilker Ballroom 1–2 AAAI-15 Invited Talk
Using Statistics and Semantics to Solve Big (Graph) Data Problems Lise Getoor (University of California, Santa Cruz) Introduction by Luc de Raedt Big data problems benefit from modeling both structure and uncertainty, so there is a growing need for tools to develop large, complex probabilistic models. These tools should combine high-level knowledge representation with general purpose, scalable algorithms for learning and inference. In this talk, I will survey some of the recent work from the statistical relational learning community on learning and inference in richly-structured, multi-relational network data. I will highlight both important developments and opportunities in which ideas from AI can have great impact on
upcoming challenges within the machine learning, data science and data mining communities.
Friday, 9:00 - 9:50 AM, Zilker Ballroom 3–4 AAAI-15 Invited Talk
von Neumann's Dream Michael Bowling (University of Alberta) Introduction by Tuomas Sandholm Chess has long served as the measure of progress for artificial intelligence. However, at the very beginning of computing and artificial intelligence, John von Neumann dreamt of a different game: “Real life is not like [chess]. Real life consists of bluffing, of little tactics of deception, of asking yourself what is the other man going to think I mean to do. And that is what games are about in my theory.” The game von Neumann hinted at is poker, and it played a foundational role in his formalization of game theory. Shortly after launching the field of game theory, he practically abandoned his new discipline to focus on the budding field of computing. He saw computers as the way to make his mathematics workable. Now, over 70 years later with both significant advances in computing and game theoretic algorithms, von Neumann's dream is now a reality. Heads-up limit Texas hold'em poker, the smallest variant of poker played by humans, is essentially solved. In this talk, I will discuss how we accomplished this landmark result, along with the substantial scientific advances in our failed attempts along the way.
Senior Member Presentations Tuesday – Friday, January 27–30, Texas Ballroom VII
The AAAI-15 Senior Member Presentation track comprises two subtracks: Summary Talks: established researchers provide broad talks on a well-developed body of research or an important new research area; and Blue Sky Talks: authors present ideas and visions that can stimulate the research community to pursue new directions, such as new problems, new application domains, or new methodologies, that are likely to stimulate significant new research. Seven summary talks and eight Blue Sky talks will be presented (please see the conference schedule on pages 15–28). For more information about the Blue Sky Awards, please see page 5.
What’s Hot Talks Tuesday – Thursday, January 27–29, Texas Ballroom I
The AAAI-15 “What’s Hot” track aims to present exciting recent advances and current challenges in subareas of Artificial Intelligence with major conferences or competitions. Twelve “What’s Hot” presentations will be presented, representing the CPVR, CHI, HCOMP, IROS, KDD, and KR conferences, as well as the Angry Birds Artificial Intelligence, Automated Negotiating Agents, General Game Playing, RoboCup, Planning, SAT and ASP competitions (please see the conference schedule on pages 15–28).
Student Activities As part of a focused effort to increase student participation at AAAI, the conference committee has organized a series of student activities at AAAI-15. We invite you to participate for an enriched AAAI experience! More information and instructions for the following activities can be found at movingai.com/ AAAI15/
Social Media Activities Please join us on social media for AAAI-15! Like us on Facebook, follow us on Twitter, connect on Linkedin, share your photos on our Flickr group, and tweet about our conference using the hashtag #AAAI2015. Social Media Games: Scavenger Hunts movingai.com/AAAI15/game.html
We will host online scavenger hunts daily from Tuesday to Thursday. Participate for a chance to win prizes and bragging rights!
Dining/Group Meals Meet: First 10 minutes of each lunch and dinner break in the foyer of the Zilker Ballroom Don't want to dine alone? Get paired up with other students and researchers for group meals as well as get suggestions on nearby restaurants!
Student Newcomers Lunch Sunday, January 25, 12:45 – 2:00 PM Foothills II, 17th Floor
The first Student Newcomer Lunch will provide an opportunity for students new to AAAI to meet fellow students and senior AI researchers prior to the commencement of the main conference. Attendance is limited to 70 students and all places have currently been filled. Admittance is by ticket only.
AAAI Tutorial (SP3) on How to Be a PhD Student Sunday, January 25, 4:30 PM – 6:00 PM (1.5 hours) Texas III, Second Level
Gene Freuder, Universiuty College Cork, will offer advice on how to meet the challenges and take advantage of the opportunities of being a PhD student.
AAAI/SIGAI Doctoral Consortium Sunday and Monday, January 25–26 Texas II, Second Level
The Twentieth AAAI/SIGAI Doctoral Consortium provides an opportunity for a group of Ph.D. students to discuss and explore their research interests and career objectives in an interdisciplinary workshop together with a panel of established researchers. The sixteen students accepted to participate in this program will also participate in the AAAI-15 evening Poster / Demo Session 1 on Tuesday, January 27. All interested AAAI-15 student registrants are invited to observe the presentations and participate in discussions at the workshop. AAAI and SIGAI gratefully acknowledge grants from the National Science Foundation and David E. Smith, providing partial funding for this event. The final schedule is available at ciigar.csc.ncsu.edu/aaai2015-dc/
AAAI-15 Open House Monday, January 26, 9 AM – 5:30 PM Zilker Ballroom 1-3, First Level
The AAAI-15 Open House will welcome high-school students in the Austin area, the general public, graduate and undergraduate students, and established AI researchers. The day will comprise a variety of exhibits and demonstrations, including the posters and demos listed on page 10, as well as the Robotics exhibits, Virtual Agent demos, and a special RoboCup exhibition. The latest work in many areas of AI will be showcased, so be sure to arrive in time to participate. Admission is open to all! For complete schedule information, please see full details on page 10.
Research Speed Dating Monday, January 26 6:00 – 7:00 PM, Zilker Ballroom 3
PD Disease State Assessment in Naturalistic Environments Using Deep Learning Nils Yannick Hammerla, James M. Fisher, Peter Andras, Lynn Rochester, Richard Walker, Thomas Plötz Hill Country AB
Multi-Document Summarization Based on Two-Level Sparse Representation Model He Liu, Hongliang Yu, Zhi-Hong Deng Hill Country CD
Learning Greedy Policies for the Easy-First Framework Jun Xie, Chao Ma, Janardhan Rao Doppa, Prashanth Mannem, Xiaoli Fern, Thomas G. Dietterich, Prasad Tadepalli Hill Country CD
Chinese Common Noun Phrase Resolution: An Unsupervised Probabilistic Model Rivaling Supervised Resolvers Chen Chen, Vincent Ng Hill Country CD
Thursday, January 29
Want to get to know more researchers? Hold off going to the conference reception (we'll save food for you) and attend the research speed dating event on Monday evening! You will get the opportunity to meet and chat with various AAAI attendees from senior researchers to student newcomers before going to the conference reception. Never feel bored and lonely at AAAI again!
Meet at 4:45 – 5:45 PM
Breakfast with Champions: A Women's Mentoring Event
Are Features Equally Representative? A Feature-Centric Recommendation
Wednesday, January 28, 7:45 – 8:45 AM Foothills II, 17th Floor
AAAI is holding an inaugural women's mentoring event for women students to meet with senior women in computer science and/or artificial intelligence. Space is very limited. Admittance is by ticket only.
Easily Accessible Papers Wednesday and Thursday, January 28–29
Do you feel that some AAAI papers and talks are too difficult to understand? Attend accessible paper talks (designated in program)! These are papers that the authors and reviewers have found to be more easily accessible than typical papers. Then, meet with the authors to hear more about the work and participate in a Q&A session. Easily accessible paper authors will be available on Wednesday and Thursday evenings (see schedule below) to meet and discuss their research with interested attendees. These discussions are open to anyone with interest, but are intended to help expose the research process to students new to research.
Wednesday, January 28 Meet at 4:30 – 5:30 PM On Machine Learning towards Predictive Sales Pipeline Analytics Junchi Yan, Chao Zhang, Hongyuan Zha, Min Gong, Changhua Sun, Jin Huang, Stephen Chu, Xiaokang Yang Hill Country AB
Modelling Class Noise with Symmetric and Asymmetric Distributions Jun Du, Zhihua Cai Hill Country AB
Deep Representation Learning with Target Coding Shuo Yang, Ping Luo, Chen Change Loy, Kenneth W. Shum, Xiaoou Tang Hill Country AB
Learning Relational Sum-Product Networks Aniruddh Nath, Pedro Domingos Hill Country AB
Chenyi Zhang, Ke Wang, Ee-peng Lim, Qinneng Xu, Jianling Sun, Hongkun Yu Hill Country AB
Pearl's Causality in a Logical Setting Alexander Bochman, Vladimir Lifschitz Hill Country CD
Automatic Configuration of Sequential Planning Portfolios Jendrik Seipp, Silvan Sievers, Malte Helmert, Frank Hutter Hill Country CD
Reusing Previously Found A* Paths for Fast Goal-Directed Navigation in Dynamic Terrain Carlos Hernández, Roberto Asín, Jorge A. Baier Hill Country CD
Multi-Agent Pathfinding as a Combinatorial Auction Ofra Amir, Guni Sharon, Roni Stern Big Bend Ballroom
When Suboptimal Rules Avshalom Elmalech, David Sarne, Avi Rosenfeld, Eden Shalom Erez Big Bend Ballroom
Strategy-Proof and Efficient Kidney Exchange Using a Credit Mechanism Chen Hajaj, John P. Dickerson, Avinatan Hassidim, Tuomas Sandholm, David Sarne Big Bend Ballroom
On Fairness in Decision-Making under Uncertainty: Definitions, Computation, and Comparison Chongjie Zhang, Julie A. Shah Big Bend Ballroom
Student Abstract and Poster Program Wednesday and Thursday, January 28–29 Poster Ads: Texas 1, Second Level
This program provides a forum in which students can present and discuss their work during its early stages, meet some of their peers who have related interests, and introduce themselves to more senior members of the field. Students will present poster
STUDENT ACTIVITIES 9
AAAI-15 Open House Monday, January 26 Zilker Ballroom 1-3, First Level
The 2015 AAAI Open House will be held on Monday, January 26 in the Zilker Ballroom. There is no cost to attend this event, and it is open to the public. During the open house there will be demos and posters on many areas and topics including robotics, games, agents, and many others. Speakers Moshe Vardi and Stuart Russell will address the social consequences of AI. We look forward to seeing you there with your friends and family. For up-to-date open house information, see movingai.com/AAAI15/openhouse.html
Open House Exhibits Exhibits will be held in Zilker 1–2 and Foyer, from 9:00 AM – 5:30 PM. Open House Exhibits will include Robotics exhibits, the RoboCup Exhibition, Virtual Agents Demos, and the posters and demos (including the Games Showcase) listed below.
Open House Invited Presentations will be held in Zilker 3 Stuart Russell (University of California, Berkeley) 1:00 PM
If Machines Are Capable of Doing Almost Any Work Humans Can Do, What Will Humans Do? Moshe Vardi (Rice University) 4:30 PM
Pascal Bercher, Ulm University
Computer Playing Poker (Game Showcase) Michael Bowling, Rob Holte, Nolan Bard, Neil Burch, Michael Johanson, Trevor Davis, and Dustin Morrill, University of Alberta Maria Chang, Northwestern University
Open House Poster Presenters
Samsung Tune: A Scalable Song Recommender System Maryam Esmaeili, Samsung Research America
Angry Birds AI and Snap! (Game Showcase) Xiaoyu Ge and Jochen Renz, Australian National University
MoHex, A Strong Hex Player (Game Showcase) Ryan Hayward, University of Alberta
KU Leuven Innovation Lab for High School Students Wannes Meert, Guy Van den Broeck, and Jan Van Haaren, KU Leuven
2012 BotPrize Champion: Human-like Bot for Unreal Tournament (Game Showcase) Jacob Schrum, Southwestern University and Risto Miikkulainen, The University of Texas at Austin
A Multi-Pass Sieve for Name Normalization Jennifer D'Souza, University of Texas at Dallas
A Multivariate Timeseries Modeling Approach to Severity of Illness Assessment and Forecasting in ICU with Sparse, Heterogeneous Clinical Data Marzyeh Ghassemi, Tristan Naumann, and Mengling Feng, MIT
Leveraging Multi-modalities for Egocentric Activity Recognition Peng-Ju, Hsieh, National Taiwan University
Classifying Guitar Tab Difficulty Ankit Tandon, University of Texas at Austin
We Are Watson Labs Dan Tecuci and Rob Turnkett, IBM Watson
Fittle, A Mobile Health & Wellness App Michael Youngblood, Palo Alto Research Center (PARC, a Xerox company)
Goal Recognition Design Sarah Keren and Avigdor Gal, Technion - Israel Institute of Technology
Building a Professor Recommendation System Using Clustering
10 STUDENT ACTIVITIES, OPEN HOUSE
Plan, Repair, Execute, Explain - How Planning Helps to Assemble your Home Theater
Cogsketch: Sketch Understanding for Cognitive Science and Education
Over the past 15 years artificial intelligence (AI) has made remarkable progress. While AI has been proven to be much more difficult than believed by its early pioneers, its inexorable progress over the past 50 years suggests that H. Simon was probably right when he wrote in 1956 “machines will be capable ... of doing any work a man can do.” I do not expect this to happen in the very near future, but I do believe that by 2045 machines will be able to do a very significant fraction of the work that humans can do. The following question, therefore, seems to be of paramount importance. If machines are capable of doing almost any work humans can do, what will humans do?
ads during the lunch breaks on Wednesday and Thursday, January 28–29. They will present their posters in the evening Poster / Demo Session on the corresponding day. For the schedule of student poster presentations, please see the schedule on pages 15-28. Information about the Poster / Demos Sessions is available on page 5 and in the accompanying insert.
Going Beyond Literal Command-Based Instructions: Extending Robotic Natural Language Interaction Capabilities
Open House Demo Presenters
The news media in recent months have been full of dire warnings about the risk that AI poses to the human race, coming from well-known figures such as Stephen Hawking and Elon Musk. Should we be concerned? If so, what can we do about it?
Keith McGreggor, Georgia Institute of Technology
Marco Santoni, ElectricFeel
An Agent-Based Model of the Emergence and Transmission of a Language System for the Expression of Logical Combinations
Tom Williams, Tufts University
The Future of (Artificial) Intelligence
Fractal Reasoning
Jennifer Seitzer, Rollins College
Incentivizing Users for Balancing Bike Sharing Systems
Josefina Sierra-Santibanez, Technical University of Catalonia
Open House Invited Presentations
Mackenzie Leake, Scripps College
Borrowing from Biology: Using Genetic Algorithms and Hierarchical Genetic Algorithms to Create Technology
Fuego Go Program (Game Showcase) Yeqin Zhang, University of Alberta
RoboCup at AAAI-15 See page 11 for details.
AAAI Fellow / Student Lunches Wednesday and Thursday, January 28–29
First held in 2006, this program provides an opportunity for a small number of students to chat with a AAAI Fellow over an informal lunch during the conference. Sign-up sheets are available at the onsite registration desk in the foyer of the Texas Ballroom. Students should meet their designated Fellow in onsite registration on their assigned day.
Games Night Wednesday, January 28, 8:15 – 10:00 PM Foothills II, 17th Floor
Come spend an evening playing games with other AAAI participants at the third annual AAAI Games Night. There will be organized AI-themed games, including a AAAI version of The Price is Right! with a chance to win a variety of prizes! Bring your own games to play afterwards.
Robotics Events AAAI-15 showcases robotics in a variety of programs, including special technical tracks, student robotics paper presentations, Robotics: Science and Systems Early Career Spotlight talks, the Shakey Celebration (see page 6), an exhibition of robotics research from academia and industry, including a RoboCup exhibition match, and a “best robot video” award. AAAI wishes to thank AI Journal, the National Science Foundation, and the NSERC Canadian Field Robotics Network (NCFRN), the IEEE Robotics and Automation Society (RAS), and the RoboCup Federation for their generous support of these events.
Robotics Student Fellowship Talks (Please see the schedule for presentation times) Learning and Grounding Haptic Affordances Using Demonstration and Human-Guided Exploration Vivian Chu
Intent Prediction in Human-Robot Interaction Matthew O. Derry
Apprenticeship Scheduling for Human-Robot Teams in Manufacturing Matthew Craig Gombolay
Socially Assistive Robotics for Long-Term Health Behavior Change Jillian Greczek
A Divide and Conquer Approach to Control Complex Continuous State Dynamic Systems using Hierarchical Reinforcement Learning Sean Harris
Representation Learning for Robotics Rico Jonschkowski
The Development of Socially Assistive Robots for Healthcare Applications to Improve Quality of Life Wing-Yue Geoffrey Louie
Multi-Agent Rendezvous Malika Meghjani
Plan Execution Monitoring through Detection of Unmet Expectations about Action Outcomes Juan Pablo Mendoza
Task-Oriented Planning for Manipulating Articulated Mechanisms Under Model Uncertainty Venkatraman Narayanan
Time-Optimal Learning, Exploration and Control for Mobile Robots in (Partially) Known Environments Vladislav Nenchev
Following a Target Whose Behavior Is Predictable Florian Shkurti
Learning the State of the World: Object-based State Estimation for Mobile-Manipulation Robots Lawson L.S. Wong
Robotics: Science and Systems 2014 Presentations Multi-Heuristics A* Sandip Aine, Siddharth Swaminathan, Venkatraman Narayanan, Victor Hwang, Maxim Likachev
Active Reward Learning Christian Daniel, Malte Viering, Jan Metz, Oliver Kroemer, Jan Peters
Open-Vocabulary Object Retrieval Sergio Guadarrama, Erik Rodner, Kate Saenko, Ning Zhang, Ryan Farrell, Jeff Donahue, Trevor Darrell
Fully Decentralized Task Swaps with Optimized Local Searching Lantao Liu, Nathan Michael, Dylan Shell
Tell Me Dave: Context-Sensitive Grounding of Natural Language to Manipulation Instructions Dipendra Kumar Misra, Jaeyong Sung, Kevin Lee, Ashutosh Saxena
Learning Articulated Motions from Visual Demonstration Sudeep Pillai, Matthew Walter, Seth Teller
Asking for Help Using Inverse Semantics Stefanie Tellex, Ross Knepper, Adrian Li, Daniela Rus, Nicholas Roy
Learning to Locate from Demonstrated Searches Paul Vernaza, Anthony Stentz
Correct High-level Robot Behavior in Environments with Unexpected Events Kai Weng Wong, Rudiger Ehlers, Hadas Kress-Gazit
Hierarchical Semantic Labeling for Task-Relevant RGB-D Perception Chenxia Wu, Ian Lenz, Ashutosh Saxena
Robotics Exhibition Monday – Thursday, January 26–29 Exhibit Hours: Monday, January 26: Tuesday, January 27: Wednesday, January 28: Thursday, January 29:
9:00 AM – 6:00 PM 10:00 AM – 8:45 PM 10:00 AM – 8:00 PM 10:00 AM – 8:15 PM
Adept MobileRobots Contact: Chad LaCroix Robot Name: Pioneer 3-DX and Pioneer LX
Since 1995 when we launched the first Pioneer robot, Adept MobileRobots (previously known as ActivMedia Robotics and MobileRobots, Inc.) has grown to be a global leader in the design and manufacture of intelligent mobile robots. In 2010, MobileRobots Inc. was acquired by the largest industrial robotics company in the US, Adept Technology. The Adept MobileRobots academic and research division continues to provide the world's leading mobile robot platforms for mobile roboticsresearch.
Duke University Contact: George Konidaris
Come and meet a few members of the newly launched Duke Robotics!
Oregon State University Contact: Kagan Tumer
As robots become a daily part of our lives, they must learn to work closely with us in our homes and workplaces. Oregon State University is leading robotics research for the real world with new MS and PhD programs and expertise in locomotion, manipulation, decision making, human-robot interaction, and coordination.
Texas A&M University Contact: Robin R. Murphy Robot Names: Survivor Buddy, AirRobot 100, Bujold, AC-ROV Team Name: Center for Robot-Assisted Search and Rescue
The Center for Robot-Assisted Search and Rescue (CRASAR) is devoted to field research, education, and advocacy. CRASAR has participated in 17 incidents, including the 9/11 World Trade Center, Hurricane Katrina, and the Fukushima Daiichi nuclear accident. Artificial intelligence is needed throughout the data to decision process, not just for control.
University of California, Irvine Contact: Ting-Shuo Chou ([emailprotected]) Robot Name: CARL-SJR Team Name: Cognitive Anteater Robotics Laboratory
CARL-SJR is a social assistive robot, which has a nearly full-body tactile sensory area that encourages people to communicate with it through touches and has a surface that displays animated colorful patterns. CARL-SJR is also a neuromorphic robot with a spiking neural network model for learning capability. Several social assistive games for ASD and ADHD therapy are built upon CARL-SJR.
University of Texas at Austin Contact: Jivko Sinapov Robot Name: Segbots
Since September 2014, our team of 5 Segbots have traveled for over 140 km without human guidance throughout the Computer Science building at UT Austin. They can navigate autonomously, learn new words for places and objects, and even draw using a Kinova MICO arm. Come see them in action!
University of Texas at Austin Contact: Luis Sentis Robot Name: Dreamer Humanoid Robot
RoboCup at AAAI-15 Monday, January 26, 12:00 - 6:00 PM Tuesday, January 27, 9:00 am - 8:45 PM Zilker Ballroom 1
The RoboCup competitions have promoted research on artificial intelligence and robotics since 1997. One of their main foci is the worldwide popular game of soccer, with the aim to build fully autonomous cooperative multi-robot systems that perform well in dynamic and adversarial environments. Given the recent expansion of interest in intelligent robotics, AAAI and the RoboCup Federation, with the help of NSF, are co-sponsoring a RoboCup soccer exhibition match at AAAI-15 to showcase the state-of-the-art in robotics soccer to the broad artificial intelligence research community and spur additional interest in this exciting testbed for intelligent systems. The participating teams will be UPennalizers from The University of Pennsylvania, UT Austin Villa from the University of Texas at Austin, and rUNSWift from the University of New South Wales. Each team won a championship at the 2014 international competition (in the humanoid league, 3D simulation league, and Standard Platform League respectively). They will demonstrate a game according to the regulations of the Standard Platform League, in which all teams use identical Aldebaran Nao robots.
ROBOTICS EVENTS 11
Competitions, Games Showcase, Job Market Electronic Bulletin Board AI Video Competition www.aaaivideos.org Video Loop: Monday–Thursday, January 26–29 Texas Ballroom Foyer Awards Ceremony: Thursday, January 29, 1:20 – 1:50 PM Zilker Ballroom
The Ninth AI Video Competition communicates to the world the fun of pursuing research in AI, and illustrates the impact of some of our applications. Submitters were asked to create narrated videos of 1–5 minutes in length. The submissions were reviewed by an international program committee, led by cochairs Sabine Hauert (University of Bristol, UK) and Mauro Birattari (Université Libre de Bruxelles, Belgium). Awards will be presented in the following categories: Best Video, Best Student Video, and People's Choice. Authors of award-winning videos will be presented with “Shakey” trophies that honor SRI's Shakey robot and its pioneering video. Award winning videos will be screened at the ceremony. AAAI gratefully acknowledges the AI Journal Review Board for its donation and the Bristol Robotics Laboratory for help with the manufacturing of the awards.
Games Showcase Monday, January 26 (Open House) Wednesday, January 28 Thursday, January 29 Zilker Ballroom
9:00 AM – 6:00 PM 6:30 - 8:00 PM 6:45 - 8:15 PM
The Games Showcase will provide a glimpse into the latest research in game-playing programs. The last 10 years has seen significant shifts in game research, with new research in games of imperfect information, as well as research in modern video
Sponsor / Exhibit Program The AAAI-15 sponsor / exhibit program will be held Tuesday – Thursday, January 27 – 29 in the Texas Ballroom Foyer. This program provides an opportunity for AI-related companies and publishers to support the goals of AAAI and reach out to AI professionals. In some cases, sponsors have elected to exhibit at AAAI-15. AAAI thanks all sponsors and exhibitors for their participation in AAAI-15!
Exhibit Hours Tuesday, January 27 Wednesday, January 28 Thursday, January 29
10:00 AM – 6:00 PM 10:00 AM – 6:00 PM 10:00 AM – 4:00 PM
Exhibitors ACM/SIGAI (Sponsor) sigai.acm.org Contact: Yolanda Gil
SIGAI is the ACM Special Interest Group on ArtificialIntelligence. Its AI Matters newsletter dissemi-
games. Furthermore, new search techniques have brought significant progress in games like Go, for which previous techniques did not perform well. Come by the showcase to see a mix of games and learn about the latest research progress.
Games Showcase Demonstrations The Games Showcase will be available during the Open House on Monday and during Wednesday and Thursday evening poster sessions. The games are scheduled in 30-minute slots each evening. Poker Program Michael Bowling, University of Alberta January 28, 7:00 - 7:30 PM January 29, 6:45 - 7:15 PM
Poker Program Sam Ganzfried, Carnegie Mellon University January 28, 6:30 - 8:00 PM January 29, 6:45 - 8:15 PM
Angry Birds AI and Snap! Xiaoyu Ge, Australian National University January 28, 6:30 - 7:00 PM January 29, 7:45 - 8:15 PM
MoHex (Hex) and Fuego (Go) Ryan Hayward, University of Alberta January 28, 6:30 - 7:00 PM January 29, 7:15 - 7:45 PM
2012 BotPrize Champion: Humanlike Bot for Unreal Tournament Jacob Schrum, Southwestern University and Risto Miikkulainen, The University of Texas at Austin January 28, 7:30 - 8:00 PM January 29, 6:45 - 7:15 PM
nates news and articles of interest to the AI community. SIGAI supports many student activities, including the new SIGAI Career Network and Conference for early career researchers, conference travel, and the AAAI/SIGAI Doctoral Consortium.
AI Journal (Sponsor) ijcai.org/aijd.php
Artificial Intelligence Journal (AIJ) is one of the longest established and most respected journals in AI, and since it was founded in 1970, it has published many of the key papers in the field. The operation of the Editorial Board is supported financially through an arrangement with AIJ's publisher, Elsevier. The editorial board of Artificial Intelligence is now in the unique position of being able to make available substantial funds, of the order of EUR 175,000 per annum to support the promotion and dissemination of AI research.
AI Topics (Exhibitor) aaai.org/aitopics
The Premier Source of Information about AI. Stop by the AITopics booth to pick up a luggage tag. Sign
General Game Playing Competition Tuesday - Thursday, January 27–29 Texas Ballroom Foyer
The General Game Playing Exhibition this year will include multiple examples of General Game Playing. During the lunch break on Tuesday, there will be replays of the final games of the 2014 Intrenational GGP Competition. On Wednesday over lunch, there will be a grudge match between Sancho (teh 2014 winner) and Turboturtle (the 2013 winner). And on Thursday over lunch, there will be the annual Carbon vs Silicon competition, pitting the current champion (Sancho) against a human player in a best-of-three carbon-vs-silicon match. Each afternoon, conference participants will have the opporunity to play against the automated general game players.
AAAI / ACM SIGAI Job Market Electronic Bulletin Board Texas Ballroom Foyer
AAAI and ACM SIGAI are pleased to offer an electronic job bulletin board to AAAI-15 attendees. Companies with job opportunities, as well as job seekers, have provided ads to make up this kiosk display at AAAI-15. If there is sufficient interest, the opportunity to meet with job seekers will be announced via AAAI-15 social media channels. AAAI job seekers and job advertisers are invited to attend a meet and greet session during the long break just prior to the Shakey Celebration on Tuesday, 4:45–5:45 PM in Foothills I, 17th Floor. Light refreshments will be available.
up for the free AI-Alert service for weekly summaries of news stories that have mentioned AI. See what AITopics can provide for your classroom instruction or term papers. Suggest improvements. Review our list of classic papers to add your favorites.
Baidu (Sponsor/Exhibitor) www.baidu.com Contacts: Dawei Peng and Daren Li
The Baidu Mobile App. We’ve just released the latest version—5.5—of our flagship app, Mobile Baidu. In addition to traditional text and speech-based search, users can tap the small camera icon in the search bar for to activate a wide range of visual search capabilities: similar image search, product search, flower identification, pet recognition, facial recognition and much more. Baidu Knowledge Graph (BKG). We built BKG with billions of interconnected entities by extracting information from various sources, including web pages, user queries, documents, feeds etc. BKG powers various product lines across Baidu, includ-
12 SPONSOR AND EXHIBIT PROGRAM, COMPETITIONS, GAMES SHOWCASE, JOB MARKET ELECTRONIC BULLETIN BOARD
ing search, mobile, LBS, ads, and more.
BigML, Inc (Sponsor / Exhibitor) bigml.com - [emailprotected]
With more than 12,000 users around the world, BigML has quickly become the leading machine learning platform to build real-world predictive applications. A growing number of universities and research centers are using BigML to teach and learn how machine learning works: from basic concepts to sophisticated machine learning workflows. Traditionally, machine learning tools have been prohibitively complex and expensive. In addition, they've lacked the programmability and flexibility required to incorporate machine-learned models into related applications, systems and services. To address this problem, the BigML team has been working since its inception to make machine learning more consumable, programmable, and scalable through a well-defined workflow, insightful visualizations, and fully featured REST API. The net result is an extremely powerful yet intuitive platform that can quickly be leveraged by developers, data scientists and business analysts alike to perform a variety of predictive analytics and machine learning tasks.
Cambridge University Press (Exhibitor) www.cambridge.org
Stop by the Cambridge table to browse new titles such as Knowledge Representation, Reasoning, and the Design of Intelligent Agents by Gelfond and Kahl, Understanding Machine Learning by ShalevShwartz and Ben-David, Brain-Computer Interfacing by Rao, Principles of Automated Negotiation by Fatima, Kraus and Wooldridge, and The Cambridge Handbook of AI.
CRA Computing Community Consortium (Sponsor) cra.org/ccc, cccblog.org Contact: Ann Drobnis, Director ([emailprotected])
The mission of the Computing Research Association's Computing Community Consortium (CCC) is to catalyze the computing research community and enable the pursuit of innovative, high-impact research. CCC conducts activities that strengthen the research community, articulate compelling research visions, and align those visions with pressing national and global challenges. CCC communicates the importance of those visions to policymakers, government and industry stakeholders, the public, and the research community itself.
Disney Research (Sponsor) www.disneyresearch.com [emailprotected]
The Walt Disney Company has a long history of innovation and today the company focuses on content creation and the tools required to tell stories and create interactive experiences in all forms of media. Disney Research honors Walt Disney's legacy of innovation by exploring novel technologies. Disney Research labs provide a research foundation for the many business units within The Walt Disney Company. For example: Walt Disney Feature Animation, Walt Disney Imagineering, Parks & Resorts, Walt Disney Studios Motion Pictures, Disney Interactive Media Group, ESPN, Marvel, Industrial Light and Magic, and Pixar Animation Studios. Disney Research has sibling labs located in Pittsburgh, Zurich, Los Angeles and Boston. To learn more about cur-
rent opportunities, please visit www.disneyresearch.com/careers The Walt Disney Company is an Affirmative Action / Equal Opportunity Employer and encourages applications from members of under-represented groups.
Elsevier (Exhibitor) www.elsevier.com/computerscience
Elsevier is a leading international publisher of Computer Science journals, books and electronic products. By delivering first class information and innovative tools, we continue to refine our products to better serve the research need of industry professionals, researchers and students worldwide. We are proud to play an integral part within the computer science community and to participate in the advancement of this field. Visit our table to meet publishers and view the latest journal information and book titles in Artificial Intelligence.
IEEE Robotics and Automation Society (RAS) (In cooperation) IEEE Robotics and Automation Society (RAS) www.ieee-ras.org/ Contact: [emailprotected]
RAS strives to advance innovation, education, and fundamental and applied research in robotics and automation, and to foster the development and facilitate the exchange of scientific and technological knowledge in these two areas. The IEEE Robotics and Automation Society's objectives are scientific, literary and educational in character. The Society strives for the advancement of the theory and practice of robotics and automation engineering and science and of the allied arts and sciences, and for the maintenance of high professional standards among its members.
Google Inc. (Sponsor) (research.google.com)
Google's mission is to organize the world's information and make it universally accessible and useful. Perhaps as remarkable as two Stanford research students having the ambition to found a company with such a lofty objective is the progress the company has made to that end. Ten years ago, Larry Page and Sergey Brin applied their research to an interesting problem and invented the world's most popular search engine. The same spirit holds true at Google today. The mission of research at Google is to deliver cutting-edge innovation that improves Google products and enriches the lives of all who use them. We publish innovation through industry standards, and our researchers are often helping to define not just today's products but also tomorrow's.
Infosys Limited (Sponsor/Exhibitor) www.infosys.com
Infosys is a global leader in consulting, technology, outsourcing and next-generation services. We enable clients, in more than 50 countries, to stay a step ahead of emerging business trends and outperform the competition. We help them transform and thrive in a changing world by co-creating breakthrough solutions that combine strategic insights and execution excellence. Visit www.infosys.com to see how Infosys (NYSE: INFY), with US$8.25 B in annual revenues and 165,000+ employees, is helping enterprises renew themselves while also creating new avenues to generate value.
Microsoft Research (Sponsor/Exhibitor) research.microsoft.com
Since its founding in 1991, Microsoft Research has grown into one of the largest research organizations in the world. With more than 1,100 scientists and engineers at multiple labs around the world, the mission has stayed the same for over 20 years: to advance the frontiers of computing through basic and applied research, and to impact the products and services of Microsoft through our inventions.
NSERC Canadian Field Robotics Network (NCFRN) (Sponsor) The NSERC Canadian Field Robotics Network (NCFRN) brings together academic, government, and industrial researchers in the area of field robotics, to develop the science and technologies to eventually allow teams of heterogeneous-terrestrial, aerial, underwater and human-centric-to work collaboratively and autonomously in outdoor environments, and to communicate critical information to humans operators. The NCFRN provides a national framework for 11 researchers from 8 renowned Canadian universities, 10 industrial partners and 4 government agencies to work synergistically in order to make better progress in key aspects of field robotics and compete more effectively internationally. Technologies developed by the NCFRN will help address Canadian problems, e.g. monitoring and maintaining the state of our environmental heritage, patrolling borders in the Arctic, or improving the quality of life of senior citizens. The NCFRN has been training highly qualified new researchers and engineers who will in turn fuel research and development in Canada.
RoboCup Federation (In cooperation) www.roboticstoday.com/institutions/robocup-federation
The Robocup Federation is an international organisation that promotes and stimulates robot technology worldwide by organizing robot competitions and symposia. The RoboCup competitions have promoted research on artificial intelligence and robotics since 1997. One of their main foci is the worldwide popular game of soccer, with the aim to build fully autonomous cooperative multi-robot systems that perform well in dynamic and adversarial environments.
TRACLabs, Inc. (Exhibitor) Contact: Stephen Hart, PhD, Senior Scientist ([emailprotected]) 281-6789-4194
TRACLabs, located in Houston Texas, performs research and development in robotics and artificial intelligence for a variety of government agencies and commercial companies. TRACLabs is the only small company to receive DARPA funding for the DARPA Robot Challenge (DRC) Finals to be held in June 2014.
University of Southern California/Information Sciences Institute (Sponsor) ai.isi.edu Contact: Yolanda Gil ([emailprotected])
ISI is home to more than one hundred and thirty researchers and PhD students in Artificial Intelligence. ISI is part of USC’s School of Engineering, currently ranked in the top ten in the country due in
SPONSOR AND EXHIBIT PROGRAM 13
part to ISI’sstanding.AI research areas includenatural language processing, information integration, complex networks, humanbehavior, semantic web, and knowledge technologies.
University of Texas at Austin (In cooperation) www.cs.utexas.edu/ Contact: Bruce Porter, Department Chair ([emailprotected])
The Department of Computer Science is in the heart of the 350-acre campus of the University of Texas. Housed in the beautiful new Bill & Melinda Gates Computer Science Complex, the Department includes 45 faculty and 200 Ph.D. students and postdocs conducting research across the breadth of computer science.
Yahoo Labs (Sponsor) labs.yahoo.com [emailprotected]
Yahoo Labs serves as Yahoo's most forward-looking thinkers, providing deep technical expertise on critical scientific and technical topics. Yahoo Labs is the company's incubator for bold scientific experimentation. We believe that research is critical to creating delightful, personalized experiences for users and enhancing value for advertisers. At Yahoo Labs: We cover the spectrum from use-inspired basic research to applied science; We anticipate and invent technology-based opportunities; We anticipate and design for social and market trends; We explore fundamental computational, social, and economic phenomena; We participate in the international scientific research community; We work extremely closely with our software development organizations; We work closely with the world's best universities.
ADA Devices The staff at the Hyatt Regency Austin is committed to ensuring that they meet and exceed all of the requirements for the Americans with Disabilities Act. The staff is trained to accommodate guests with special needs.
Admission Each conference attendee will receive a name badge upon registration. This badge is required for admittance to the technical, tutorial, IAAI, and workshop programs, as well as all social events. Smoking is not allowed in any of the technical, poster/demo, tutorial, workshop, or IAAI sessions.
Banking An ATM is located in the hotel lobby, just beside the Front Desk.
Business Center/Shipping The Hyatt Business Center is located on the 2nd floor, just past the entrance to the Zilker skywalk. For package handling please see the hotel Concierge.
Career Information A bulletin board for job opportunities in the artificial intelligence industry will be made available in the registration area. Attendees are welcome to post job descriptions of openings at their company or institution. Information about the AAAI / ACM SIGAI Job Market Bulletin Board is available on page 12.
Hotel Dining/Coffee
Registration Conference registration is located on the second level of the Hyatt Regency Austin, beginning Sunday, January 25. Registration hours are: Sunday, January 25 Monday, January 26 Tuesday, January 27 Wednesday, January 28 Thursday, January 29 Friday, January 30
General Information
7:30 AM - 5:00 PM 7:30 AM - 5:00 PM 8:00 AM - 5:00 PM 8:30 AM - 5:00 PM 8:30 AM - 5:00 PM 8:30 AM - 11:00 am
AAAI attendees who wish to register onsite will be asked to complete an onsite form, and then process their own registration at the AAAI-15 registration site: www.regonline.com/aaai15 within the following 24-hour period. They will be issued a badge at the time that they complete the form. For a list of registration rates, please see aaai.org/AAAI15 or visit onsite registration. Attendees who select not to use the online system will be required to pay by check or cash onsite.
A Starbucks is located on the 1st floor of the Hyatt, to the immediate right of the front entrance of the hotel. The Marker 10 Spirits and Cuisine Lounge features cocktails, casual dining, lake view, and music. The SWB-Southwest Bistro on the second level serves breakfast, lunch and dinner. For restaurants near the Hyatt, please visit austin.hyatt.com/en/hotel/dining.html
Hotel Reservations For information regarding hotel reservations, please contact the Hyatt Regency Austin directly at 1-888-421-1442.
Internet Access Wireless Internet Access codes for guestrooms will be provided at check in. WiFi access is complimentary in a lobby spaces using the code: Free2 AAAI-15 attendees will be provided with access codes for the meeting areas onsite.
List of Attendees A list of preregistered attendees of the conference will be available for review at the AAAI Desk in the registration area. Attendee lists will not be distributed.
Parking Overnight self-parking is available at $19 per day
14 SPONSOR AND EXHIBIT PROGRAM, REGISTRATION, GENERAL INFORMATION
with unlimited guest access (guests only). Daily selfparking has hourly rates of 0-4 hours at $6.00, 4-7 hours at $13.00, and 7+ hours at $19.00. Daily valet parking is $15.00 per day.
Printed Materials Display tables for the distribution of promotional and informational materials of interest to conference attendees will be located in the registration area.
Proceedings/Technical Reports AAAI proceedings will be available after the conference in electronic format only via the AAAI Digital Library. Preliminary PDFs of all papers are available via the online AAAI-15 schedule. For more information, please inquire at the registration desk.
Transportation Local Transit Single ride is only $1. Day pass is $2. Get around town using Capital Metro's convenient app. Buy passes, plan trips, and get real-time arrical information on the go. www.capmetro.org/app
Airport Flyer Bus Service Austin's Capitol Metro offers direct airport bus service via a dedicated route that travels between the airport and downtown, the Capitol and The University of Texas. $1.50 one way. Call: 512-474-1200, Toll-free: 800-474-1201
Airport Super Shuttle Transfer from the hotel to the airport is $14 per person. Advance pickup arrangements must be secured to travel from the hotel to the airport. Please call 512-258-3826 or contact the concierge to arrange a pickup.
Volunteer Station The volunteer station will be located in the onsite registration area. All volunteers are required to sign in prior to their shift, and sign out when they finish.
Disclaimer In offering the Hyatt Regency Austin, the University of Texas at Austin, Texas Exposition Services, R&R Limousine and Bus, and all other service providers (hereinafter referred to as “Supplier(s)” for the AAAI Conference on Artificial Intelligence and the Innovative Applications Conference), AAAI acts only in the capacity of agent for the Suppliers that are the providers of the service. Because AAAI has no control over the personnel, equipment or operations of providers of accommodations or other services included as part of the AAAI-15/IAAI-15 program, AAAI assumes no responsibility for and will not be liable for any personal delay, inconveniences or other damage suffered by conference participants which may arise by reason of (1) any wrongful or negligent acts or omissions on the part of any Supplier or its employees, (2) any defect in or failure of any vehicle, equipment or instrumentality owned, operated or otherwise used by any Supplier, or (3) any wrongful or negligent acts or omissions on the part of any other party not under the control, direct or otherwise, of AAAI.
Tuesday January 27 — 8:30 AM – 1:20 PM
Talk Lengths
8:30 - 8:55
AAAI Talks = 15 minutes
Welcome and Opening Remarks, AAAI Organizational Awards/Honors
9:00 – 9:50 ZILKER BALLROOM AAAI-15/IAAI-15 Joint Invited Talk You Can't Play 20 Questions with Nature and Win Oren Etzioni (Allen Institute for Artificial Intelligence (AI2)) Introduction by David Gunning
TEXAS BALLROOM AAAI-15 Invited Talk Artificial Intelligence, Machine Learning and Robotics: Interplay and Interaction Drew Bagnell (Carnegie Mellon University) Introduction by Michael Beetz
9:50 – 10:10 Coffee Break
10:10 – 11:50 TEXAS I Machine Learning 1 Talks Easily Accessible Paper: On Machine Learning towards Predictive Sales Pipeline Analytics Junchi Yan, Chao Zhang, Hongyuan Zha, Min Gong, Changhua Sun, Jin Huang, Stephen Chu, Xiaokang Yang
Forecasting Collector Road Speeds under High Percentage of Missing Data Xin Xin, Chunwei Lu, Yashen Wang, Heyan Huang
Identifying At-Risk Students in Massive Open Online Courses Jiazhen He, James Bailey, Benjamin I. P. Rubinstein, Rui Zhang
Tensor-Based Learning for Predicting Stock Movements Qing Li, LiLing Jiang, Ping Li, Hsinchun Chen
Automatic Assessment of OCR Quality in Historical Documents Anshul Gupta, Ricardo Gutierrez-Osuna, Matthew Christy, Boris Capitanu, Loretta Auvil, Liz Grumbach, Richard Furuta, Laura Mandell
Burst Time Prediction in Cascades Senzhang Wang, Zhao Yan, Xia Hu, Philip S. Yu, Zhoujun Li
Poster Ads Learning to Hash on Structured Data Qifan Wang, Luo Si, Bin Shen
Generalized Singular Value Thresholding Canyi Lu, Changbo Zhu, Chunyan Xu, Shuicheng Yan, Zhouchen Lin
A Sparse Combined Regression-Classification Formulation for Learning a Physiological Alternative to Clinical Post-Traumatic Stress Disorder Scores Sarah M. Brown, Andrea Webb, Rami S. Mangoubi, Jennifer G. Dy
An SVD and Derivative Kernel Approach to Learning from Geometric Data Eric Wong, J. Zico Kolter
Efficient Benchmarking of Hyperparameter Optimizers via Surrogates Katharina Eggensperger, Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown
TEXAS II–III Computational Sustainability and AI 1 Talks Energy Disaggregation via Learning ‘Powerlets’ and Sparse Coding Ehsan Elhamifar, Shankar Sastry
Power System Restoration with Transient Stability Hassan Hijazi, Terrence W.K. Mak, Pascal Van Hentenryck
Resilient Upgrade of Electrical Distribution Grids Emre Yamangil, Russell Bent, Scott Backhaus
AAAI Poster Ads = 2 minutes Senior Member Summary Talks = 20 minutes Senior Member Blue Sky Talks = 15 minutes What's Hot Talks = 15 minutes Robotics/RSS Talks = 10 minutes IAAI Deployed Talks = 30 minutes IAAI Emerging Talks = 20 minutes IAAI Challenge Talks = 10 + 10 Q&A
Towards Optimal Solar Tracking: A Dynamic Programming Approach Athanasios Aris Panagopoulos, Georgios Chalkiadakis, Nicholas R. Jennings
Learning Large-Scale Dynamic Discrete Choice Models of Spatio-Temporal Preferences with Application to Migratory Pastoralism in East Africa Stefano Ermon, Yexiang Xue, Russell Toth, Bistra Dilkina, Richard Bernstein, Theodoros Damoulas, Patrick Clark, Steve DeGloria, Andrew Mude, Christopher Barrett, Carla P. Gomes
Poster Ads Convergent Plans for Large-Scale Evacuations Caroline Even, Victor Pillac, Pascal Van Hentenryck
Predisaster Preparation of Transportation Networks Hermann Schichl, Meinolf Sellmann
SmartShift: Expanded Load Shifting Incentive Mechanism for Risk-Averse Consumers Bochao Shen, Balakrishnan Narayanaswamy, Ravi Sundaram
Best-Response Planning of Thermostatically Controlled Loads under Power Constraints Frits de Nijs, Matthijs T. J. Spaan, Mathijs M. De Weerdt
Influence-Driven Model for Time Series Prediction from Partial Observations Saima Aman, Charalampos Chelmis, Viktor K. Prasanna
A Nonparametric Online Model for Air Quality Prediction Vitor Guizilini, Fabio Ramos
Cognitive Social Learners: An Architecture for Modeling Normative Behavior Rahmatollah Beheshti, Awrad Mohammed Ali, Gita Sukthankar
TEXAS V–VI Knowledge Representation & Reasoning 1 Talks The Relative Expressiveness of Abstract Argumentation and Logic Programming Hannes Strass
Grounded Fixpoints Bart Bogaerts, Joost Vennekens, Marc Denecker
Exploiting Parallelism for Hard Problems in Abstract Argumentation Federico Cerutti, Ilias Tachmazidis, Mauro Vallati, Sotirios Batsakis, Massimiliano Giacomin, Grigoris Antoniou
On Computing Explanations in Argumentation Xiuyi Fan, Francesca Toni
LARS: A Logic-Based Framework for Analyzing Reasoning over Streams Harald Beck, Minh Dao-Tran, Thomas Eiter, Michael Fink
Logic Programming in Assumption-Based Argumentation Revisited — Semantics and Graphical Representation Claudia Schulz, Francesca Toni
Poster Ads On Elementary Loops and Proper Loops for Disjunctive Logic Programs Jianmin Ji, Hai Wan, Peng Xiao
Splitting a Logic Program Revisited Jianmin Ji, Hai Wan, Ziwei Huo, Zhenfeng Yuan
Committee Voting Haris Aziz, Markus Brill, Vincent Conitzer, Edith Elkind, Rupert Freeman, Toby Walsh
A Complexity Approach for Core-Selecting Exchange with Multiple Indivisible Goods under Lexicographic Preferences Etsushi Fujita, Julien Lesca, Akihisa Sonoda, Taiki Todo, Makoto Yokoo
HILL COUNTRY AB Planning and Scheduling 1
Voting Rules As Error-Correcting Codes
Talks Better Be Lucky than Good: Exceeding Expectations in MDP Evaluation
Egalitarian Collective Decision Making under Qualitative Possibilistic Uncertainty: Principles and Characterization
Ariel D. Procaccia, Nisarg Shah, Yair Zick
Thomas Keller, Florian Geißer
Factored MCTS for Large Scale Stochastic Planning Hao Cui, Roni Khardon, Alan Fern, Prasad Tadepalli
Hierarchical Monte-Carlo Planning
Nahla Ben Amor, Fatma Essghaier, Hélène Fargier
Poster Ads Plurality Voting under Uncertainty Reshef Meir
On the Convergence of Iterative Voting: How Restrictive Should Restricted Dynamics Be?
Ngo Anh Vien, Marc Toussaint
Efficient Bounds in Heuristic Search Algorithms for Stochastic Shortest Path Problems Eric A. Hansen, Ibrahim Abdoulahi
Preference Planning for Markov Decision Processes Meilun Li, Zhikun She, Andrea Turrini, Lijun Zhang
Information Gathering and Reward Exploitation of Subgoals for POMDPs Hang Ma, Joelle Pineau
Poster Ads Solving Uncertain MDPs with Objectives that Are Separable over Instantiations of Model Uncertainty Yossiri Adulyasak, Pradeep Varakantham, Asrar Ahmed, Patrick Jaillet
Representation Discovery for MDPs Using Bisimulation Metrics Sherry Shanshan Ruan, Gheorghe Comanici, Prakash Panangaden, Doina Precup
Real-Time Symbolic Dynamic Programming for Hybrid MDPs Luis G. R. Vianna, Leliane N. de Barros, Scott Sanner
Agnostic System Identification for Monte Carlo Planning Erik Talvitie
Improving Exploration in UCT Using Local Manifolds Sriram Srinivasan, Erik Talvitie, Michael Bowling
Svetlana Obraztsova, Evangelos Markakis, Maria Polukarov, Zinovi Rabinovich, Nicholas R. Jennings
Approximating Optimal Social Choice under Metric Preferences Elliot Anshelevich, Onkar Bhardwaj, John Postl
Elections with Few Voters: Candidate Control Can Be Easy Jiehua Chen, Piotr Faliszewski, Rolf Niedermeier, Nimrod Talmon
Envy-Free Cake-Cutting in Two Dimensions Erel Segal-Halevi, Avinatan Hassidim, Yonatan Aumann
TEXAS VII Funding Information Session HILL COUNTRY CD IAAI-15: Machine Learning, Information Fusion, and HCI Emerging: Day-Ahead Hail Prediction Integrating Machine Learning with Storm-Scale Numerical Weather Models David John Gagne II, Amy McGovern, Jerald Brotzge, Michael Coniglio, James Correia Jr., Ming Xue
Emerging: Capturing Human Route Preferences from Track Information: New Results Johnathan Gohde, Mark Boddy, Hazel Shackleton, Steve Johnston
Emerging: A Robust and Extensible Tool for Data Integration Using Data Type Models
BIG BEND Game Theory & Economic Paradigms 1 Talks Conventional Machine Learning for Social Choice John A. Doucette, Kate Larson, Robin Cohen
Fully Proportional Representation with Approval Ballots: Approximating the MaxCover Problem with Bounded Frequencies in FPT Time
Andres Quiroz, Eric Huang, Luca Ceriani
Emerging: Maestoso: An Intelligent Educational Sketching Tool for Learning Music Theory Paul Taele, Laura Barreto, Tracy Hammond
11:50 – 1:20 Lunch Break
Piotr Skowron, Piotr Faliszewski
Justified Representation in Approval-Based
SCHEDULE: TUESDAY MORNING 15
Tuesday January 27 — 1:20 PM – 3:30 PM 1:20 - 1:50 ZILKER BALLROOM Senior Member Blue Sky Award Talks 1 Machine Teaching: An Inverse Problem to Machine Learning and an Approach toward Optimal Education Xiaojin Zhu
Emerging Architectures for Global System Science Michela Milano, Pascal Van Hentenryck
TEXAS BALLROOM I What's Hot Talks 1 What's Hot in the General Game Playing Competition Michael Genesereth
What's Hot in the RoboCup@Home Competition Sven Wachsmuth
TEXAS BALLROOM II-III What's Hot Talks 2 What's Hot in Intelligent Robots and Systems (IROS) Lynne Parker
What's Hot in Computer Vision and Pattern Recognition (CVPR) Rene Vidal
1:55 - 3:10 TEXAS I Machine Learning 2 Talks Learning Multi-Level Task Groups in MultiTask Learning Lei Han, Yu Zhang
Active Manifold Learning via Gershgorin Circle Guided Sample Selection Hongteng Xu, Hongyuan Zha, Ren-Cang Li, Mark A. Davenport
Integrating Features and Similarities: Flexible Models for Heterogeneous Multiview Data Wenzhao Lian, Piyush Rai, Esther Salazar, Lawrence Carin
Online Boosting Algorithms for Anytime Transfer and Multitask Learning Boyu Wang, Joelle Pineau
Poster Ads Low-Rank Similarity Metric Learning in High Dimensions Wei Liu, Cun Mu, Rongrong Ji, Shiqian Ma, John R. Smith, Shih-Fu Chang
Transaction Costs-Aware Portfolio Optimization via Fast Löwner-John Ellipsoid Approximation Weiwei Shen, Jun Wang
Shift-Pessimistic Active Learning Using Robust Bias-Aware Prediction Anqi Liu, Lev Reyzin, Brian D. Ziebart
Structured Embedding via Pairwise Relations and Long-Range Interactions in Knowledge Base Fei Wu, Jun Song, Yi Yang, Xi Li, Zhongfei Zhang, Yueting Zhuang
Active Learning by Learning Wei-Ning Hsu, Hsuan-Tien Lin
Convex Batch Mode Active Sampling via relative Pearson Divergence Hanmo Wang, Liang Du, Peng Zhou, Lei Shu, Yi-Dong Shen
Fast Gradient Descent for Drifting Least Squares Regression, with Application to Bandits
Structural Learning with Amortized Inference Kai-Wei Chang, Shyam Upadhyay, Gourab Kundu, Dan Roth
Ontology Module Extraction via Datalog Reasoning
The Utility of Text: The Case of Amicus Briefs and the Supreme Court
Ana Armas Romero, Mark Kaminski, Bernardo Cuenca Grau, Ian Horrocks
Yanchuan Sim, Bryan R. Routledge, Noah A. Smith
TEXAS II–III AI and the Web 1
Belief Revision with General Epistemic States
Easily Accessible Paper: Multi-Document Summarization Based on Two-Level Sparse Representation Model
Talks An Axiomatic Approach to Link Prediction
HILL COUNTRY AB Planning and Scheduling 2
Sara Cohen, Aviv Zohar
Representation Learning for Aspect Category Detection in Online Reviews Xinjie Zhou, Xiaojun Wan, Jianguo Xiao
Collaborative Topic Ranking: Leveraging Item Meta-Data for Sparsity Reduction Weilong Yao, Jing He, Hua Wang, Yanchun Zhang, Jie Cao
AAAI-15 Outstanding Paper Honorable Mention: Predicting the Demographics of Twitter Users from Website Traffic Data Aron Culotta, Nirmal Kumar Ravi, Jennifer Cutler
Poster Ads Effectively Predicting Whether and When a Topic Will Become Prevalent in a Social Network Weiwei Liu, Zhi-Hong Deng, Xiuwen Gong, Frank Jiang, Ivor W. Tsang
DynaDiffuse: A Dynamic Diffusion Model for Continuous Time Constrained Influence Maximization Miao Xie, Qiusong Yang, Qing Wang, Gao Cong, Gerard de Melo
On Information Coverage for Location Category Based Point-of-Interest Recommendation Xuefeng Chen, Yifeng Zeng, Gao Cong, Shengchao Qin, Yanping Xiang, Yuanshun Dai
Will You “Reconsume” the Near Past? Fast Prediction on Short-Term Reconsumption Behaviors Jun Chen, Chaokun Wang, Jianmin Wang
Kernel Density Estimation for Text-Based Geolocation
Hua Meng, Hui Kou, Sanjiang Li
Talks This Time the Robot Settles for a Cost: A Quantitative Approach to Temporal Logic Planning with Partial Satisfaction Morteza Lahijanian, Shaull Almagor, Dror Fried, Lydia E. Kavraki, Moshe Y. Vardi
Strong Temporal Planning with Uncontrollable Durations: A State-Space Approach Alessandro Cimatti, Andrea Micheli, Marco Roveri
Robustness in Probabilistic Temporal Planning
Talks Easily Accessible Paper: Pearl's Causality in a Logical Setting Alexander Bochman, Vladimir Lifschitz
Projection in the Epistemic Situation Calculus with Belief Conditionals Christoph Schwering, Gerhard Lakemeyer
An Abstract View on Modularity in Knowledge Representation Yuliya Lierler, Miroslaw Truszczynski
Belief Revision Games Nicolas Schwind, Katsumi Inoue, Gauvain Bourgne, Sébastien Konieczny, Pierre Marquis
Poster Ads Action Language BC+: Preliminary Report Joseph Babb, Joohyung Lee
XPath for DL Ontologies Egor V. Kostylev, Juan L. Reutter, Domagoj Vrgoc
Nathan Korda, Prashanth L.A., Rémi Munos
16 SCHEDULE: TUESDAY AFTERNOON
Towards Phrase-Based Language Model in Statistical Machine Translation
Automatically Creating a Large Number of New Bilingual Dictionaries
Peng Yu, Cheng Fang, Brian Williams
tBurton: A Divide and Conquer Temporal Planner David Wang, Brian Williams
Optimal Cost Almost-Sure Reachability in POMDPs Krishnendu Chatterjee, Martin Chmelík, Raghav Gupta, Ayush Kanodia
SMT-Based Nonlinear PDDL+ Planning Daniel Bryce, Sicun Gao, David Musliner, Robert Goldman
Crowdsourced Action-Model Acquisition for Planning Hankz Hankui Zhuo
Exploiting Submodular Value Function for Faster Dynamic Sensor Selection
Transition Constraints for Parallel Planning
TEXAS V–VI Knowledge Representation & Reasoning 2
Yikang Shen, Wenge Rong, Zhiwei Sun, Yuanxin Ouyang, Zhang Xiong
Poster Ads Resolving Over-Constrained Probabilistic Temporal Problems through Chance Constraint Relaxation
FACES: Diversity-Aware Entity Summarization Using Incremental Hierarchical Conceptual Clustering
Di Jin, Zheng Chen, Dongxiao He and Weixiong Zhang
Question/Answer Matching for CQA System via Combining Lexical and Sequential Information
Jiajun Zhang, Shujie Liu, Mu Li, Ming Zhou, Chengqing Zong
Yash Satsangi, Shimon Whiteson, Frans A. Oliehoek
Modeling with Node Degree Preservation Can Accurately Find Communities
Ziqiang Cao, Furu Wei, Li Dong, Sujian Li, Ming Zhou
Jeb Brooks, Emilia Reed, Alexander Gruver, James C. Boerkoel Jr.
Mans Hulden, Miikka Silfverberg, Jerid Francom
Kalpa Gunaratna, Krishnaprasad Thirunarayan, Amit Sheth
He Liu, Hongliang Yu, Zhi-Hong Deng
Poster Ads Ranking with Recursive Neural Networks and Its Application to Multi-Document Summarization
Nina Ghanbari Ghooshchi, Majid Namazi, M. A. Hakim Newton, Abdul Sattar
Multi-Objective MDPs with Conditional Lexicographic Reward Preferences Kyle Hollins Wray, Shlomo Zilberstein, AbdelIllah Mouaddib
Discretization of Temporal Models with Application to Planning with SMT Jussi Rintanen
Chance-Constrained Scheduling via ConflictDirected Risk Allocation Andrew J. Wang, Brian C. Williams
Learning Hybrid Models with Guarded Transitions Pedro Santana, Spencer Lane, Eric Timmons, Brian Williams, Carlos Forster
Planning over Multi-Agent Epistemic States: A Classical Planning Approach Christian Muise, Vaishak Belle, Paolo Felli, Sheila McIlraith, Tim Miller, Adrian R. Pearce, Liz Sonenberg
BIG BEND Natural Language Processing 1 Talks Mining Query Subtopics from Questions in Community Question Answering Yu Wu, Wei Wu, Zhoujun Li, Ming Zhou
Contrastive Unsupervised Word Alignment with Non-Local Features Yang Liu, Maosong Sun
Khang Nhut Lam, Feras Al Tarouti, Jugal Kalita
A Family of Latent Variable Convex Relaxations for IBM Model 2 Andrei Simion, Michael Collins, Clifford Stein
Extracting Adverse Drug Reactions from Social Media Andrew Yates, Nazli Goharian, Ophir Frieder
TEXAS VII Robotics: Science and Systems 2014 Presentations (RSS) 1 Correct High-level Robot Behavior in Environments with Unexpected Events Kai Weng Wong, Rudiger Ehlers, Hadas KressGazit
Hierarchical Semantic Labeling for Task-Relevant RGB-D Perception Chenxia Wu, Ian Lenz, Ashutosh Saxena
Open-Vocabulary Object Retrieval Sergio Guadarrama, Erik Rodner, Kate Saenko, Ning Zhang, Ryan Farrell, Jeff Donahue, Trevor Darrell
Active Reward Learning Christian Daniel, Malte Viering, Jan Metz, Oliver Kroemer, Jan Peters
Multi-Heuristics A* Sandip Aine, Siddharth Swaminathan, Venkatraman Narayanan, Victor Hwang, Maxim Likachev
HILL COUNTRY CD IAAI-15: Semantic Web, Knowledge Based Systems, and Ontologies Emerging: Leveraging Ontologies to Improve Model Generalization Automatically with Online Data Sources Sasin Janpuangtong, Dylan A. Shell
Emerging: SKILL: A System for Skill Identification and Normalization Meng Zhao, Faizan Javed, Ferosh Jacob, Matt McNair
Emerging: HACKAR: Helpful Advice for Code Knowledge and Attack Resilience Ugur Kuter, Mark Burstein, J. Benton, Daniel Bryce, Jordan Thayer, Steve McCoy
3:10 - 3:30 Coffee Break
Tuesday January 27 — 3:30 PM – 5:45 PM 3:30 - 4:45 TEXAS I Machine Learning 3 Talks Probabilistic Attributed Hashing Mingdong Ou, Peng Cui, Jun Wang, Fei Wang, Wenwu Zhu
The Boundary Forest Algorithm for Online Supervised and Unsupervised Learning Charles Mathy, Nate Derbinsky, José Bento, Jonathan Rosenthal, Jonathan Yedidia
Lazier Than Lazy Greedy Baharan Mirzasoleiman, Ashwinkumar Badanidiyuru, Amin Karbasi, Jan Vondrák, Andreas Krause
Transfer Feature Representation via Multiple Kernel Learning Wei Wang, Hao Wang, Chen Zhang, Fanjiang Xu
Poster Ads Relational Stacked Denoising Autoencoder for Tag Recommendation Hao Wang, Xingjian Shi, Dit-Yan Yeung
Sample-Targeted Clinical Trial Adaptation Ognjen Arandjelovic
Learning Entity and Relation Embeddings for Knowledge Graph Completion Yankai Lin, Zhiyuan Liu, Maosong Sun, Yang Liu, Xuan Zhu
Predicting Peer-to-Peer Loan Rates Using Bayesian Non-Linear Regression Zsolt Bitvai, Trevor Cohn
An EBMC-Based Approach to Selecting Types for Entity Filtering Jiwei Ding, Wentao Ding, Wei Hu, Yuzhong Qu
Relating Romanized Comments to News Articles by Inferring Multi-Glyphic Topical Correspondence Goutham Tholpadi, Mrinal Kanti Das, Trapit Bansal, Chiranjib Bhattacharyya
TEXAS V–VI Knowledge Representation & Reasoning 3 Talks asprin: Customizing Answer Set Preferences without a Headache Gerhard Brewka, James Delgrande, Javier Romero, Torsten Schaub
SMT-Based Validation of Timed Failure Propagation Graphs Marco Bozzano, Alessandro Cimatti, Marco Gario, Andrea Micheli
Low-Rank Multi-View Learning in Matrix Completion for Multi-Label Image Classification
Interactive Query-Based Debugging of ASP Programs
Meng Liu, Yong Luo, Dacheng Tao, Chao Xu, Yonggang Wen
Stable Model Counting and Its Application in Probabilistic Logic Programming
Multi-Objective Reinforcement Learning with Continuous Pareto Frontier Approximation Matteo Pirotta, Simone Parisi, Marcello Restelli
Efficient Active Learning of Halfspaces via Query Synthesis Ibrahim Alabdulmohsin, Xin Gao, Xiangliang Zhang
V-MIN: Efficient Reinforcement Learning through Demonstrations and Relaxed Reward Demands David Martínez, Guillem Alenyà, Carme Torras
Leveraging Features and Networks for Probabilistic Tensor Decomposition Piyush Rai, Yingjian Wang, Lawrence Carin
TEXAS II–III AI and the Web 2 Talks TrustSVD: Collaborative Filtering with Both the Explicit and Implicit Influence of User Trust and of Item Ratings Guibing Guo, Jie Zhang, Neil Yorke-Smith
Learning User-Specific Latent Influence and Susceptibility from Information Cascades Yongqing Wang, Huawei Shen, Shenghua Liu, Xueqi Cheng
Causal Inference via Sparse Additive Models with Application to Online Advertising Wei Sun, Pengyuan Wang, Dawei Yin, Jian Yang, Yi Chang
Acquiring Speech Transcriptions Using Mismatched Crowdsourcing Preethi Jyothi, Mark Hasegawa-Johnson
Poster Ads Modeling Status Theory in Trust Prediction Ying Wang, Xin Wang, Jiliang Tang, Wanli Zuo, Guoyong Cai
On the Scalable Learning of Stochastic Blockmodel Bo Yang, Xuehua Zhao
Bayesian Approach to Modeling and Detecting Communities in Signed Network Bo Yang, Xuehua Zhao, Xueyan Liu
Kostyantyn Shchekotykhin
Rehan Abdul Aziz, Geoffrey Chu, Christian Muise, Peter J. Stuckey
Poster Ads Exploring the KD45n Property of a Kripke Model after the Execution of an Action Sequence Tran Cao Son, Enrico Pontelli, Chitta Baral, Gregory Gelfond
Parallelized Hitting Set Computation for Model-Based Diagnosis Dietmar Jannach, Thomas Schmitz, Kostyantyn Shchekotykhin
Verifying and Synthesising Multi-Agent Systems against One-Goal Strategy Logic Specifications Petr Čermák, Alessio Lomuscio, Aniello Murano
Tractable Interval Temporal Propositional and Description Logics Alessandro Artale, Roman Kontchakov, Vladislav Ryzhikov, Michael Zakharyaschev
Towards Tractable and Practical ABox Abduction over Inconsistent Description Logic Ontologies Jianfeng Du, Kewen Wang, Yi-Dong Shen
HILL COUNTRY AB Multiagent Systems 1 Talks Efficient Task Sub-Delegation for Crowdsourcing Han Yu, Chunyan Miao, Zhiqi Shen, Cyril Leung, Yiqiang Chen, Qiang Yang
Easily Accessible Paper: Multi-Agent Pathfinding as a Combinatorial Auction Ofra Amir, Guni Sharon, Roni Stern
Easily Accessible Paper: On Fairness in Decision-Making under Uncertainty: Definitions, Computation, and Comparison Chongjie Zhang, Julie A. Shah
Finding a Collective Set of Items: From Proportional Multirepresentation to Group Recommendation Piotr Skowron, Piotr Faliszewski, Jérôme Lang
Poster Ads Cupid: Commitments in Relational Algebra Amit K. Chopra, Munindar P. Singh
Verification of Relational Multiagent Systems with Data Types Diego Calvanese, Marco Montali, Giorgio Delzanno
Distributing Coalition Value Calculations to Coalition Members Luke Riley, Katie Atkinson, Paul E. Dunne, Terry R. Payne
Matching with Dynamic Ordinal Preferences Hadi Hosseini, Kate Larson, Robin Cohen
Cooperating with Unknown Teammates in Complex Domains: A Robot Soccer Case Study of Ad Hoc Teamwork Samuel Barrett, Peter Stone
BIG BEND Machine Learning 4 Talks An Adaptive Gradient Method for Online AUC Maximization Yi Ding, Peilin Zhao, Steven C.H. Hoi, Yew Soon Ong
Kernelized Online Imbalanced Learning with Fixed Budgets Junjie Hu, Haiqin Yang, Irwin King, Michael R. Lyu, Anthony Man-Cho So
High-Performance Distributed ML at Scale through Parameter Server Consistency Models Wei Dai, Abhimanu Kumar, Jinliang Wei, Qirong Ho, Garth Gibson, Eric P. Xing
Poster Ads Unidimensional Clustering of Discrete Data Using Latent Tree Models April Hua Liu, Leonard K. M. Poon, Nevin L. Zhang
SoF: Soft-Cluster Matrix Factorization for Probabilistic Clustering Han Zhao, Pascal Poupart, Yongfeng Zhang, Martin Lysy
Robust Subspace Clustering via Thresholding Ridge Regression Xi Peng, Zhang Yi, Huajin Tang
Detecting and Tracking Concept Class Drift and Emergence in Non-Stationary Fast Data Streams
A Convex Formulation for Spectral Shrunk Clustering Xiaojun Chang, Feiping Nie, Zhigang Ma, Yi Yang, Xiaofang Zhou
The Dynamic Chinese Restaurant Process via Birth and Death Processes Rui Huang, Fengyuan Zhu, Pheng-Ann Heng
TEXAS VII Senior Member Blue Sky Talks Session 1 Speech Adaptation in Extended Ambient Intelligence Environments Bonnie J. Dorr, Lucian Galescu, Ian Perera, Kristy Hollingshead-Seitz, David Atkinson, Micah Clark, William Clancey, Yorick Wilks, Eric Fosler-Lussier
Impact of Modeling Languages on the Theory and Practice in Planning Research Jussi Rintanen
Blended Planning and Acting: Preliminary Approach, Research Challenges Dana S. Nau, Malik Ghallab, Paolo Traverso
Building Strong Semi-Autonomous Systems Shlomo Zilberstein
Steering Evolution Strategically: Computational Game Theory and Opponent Exploitation for Treatment Planning, Drug Design, and Synthetic Biology Tuomas Sandholm
HILL COUNTRY CD IAAI-15: E-Commerce & Social Media Deployed: Planned Protest Modeling in News and Social Media Sathappan Muthiah, Bert Huang, Jaime Arredondo, David Mares, Lise Getoor, Graham Katz, Naren Ramakrishnan
Deployed: Position Assignment on an Enterprise Level Using Combinatorial Optimization Leonard Kinnaird-Heether, Chris Dorman
4:45 - 5:45 Long Break
Brandon S. Parker, Latifur Khan
10,000+ Times Accelerated Robust Subset Selection (ARSS) Feiyun Zhu, Bin Fan, Xinliang Zhu, Ying Wang, Shiming Xiang, Chunhong Pan
Constrained NMF-Based Multi-View Clustering on Unmapped Data Xianchao Zhang, Linlin Zong, Xinyue Liu, Hong Yu
The Queue Method: Handling Delay, Heuristics, Prior Data, and Evaluation in Bandits Travis Mandel, Yun-En Liu, Emma Brunskill, Zoran Popović
Maximin Separation Probability Clustering Gao Huang, Jianwen Zhang, Shiji Song, Zheng Chen
Learning Robust Locality Preserving Projection via p-Order Minimization Hua Wang, Feiping Nie, Heng Huang
Coupled Interdependent Attribute Analysis on Mixed Data Can Wang, Chi-Hung Chi, Wei Zhou, Raymond Wong
Online Bandit Learning for a Special Class of Non-Convex Losses Lijun Zhang, Tianbao Yang, Rong Jin, Zhi-Hua Zhou
Budgeted Prediction with Expert Advice Kareem Amin, Satyen Kale, Gerald Tesauro, Deepak Turaga
Large-Scale Multi-View Spectral Clustering via Bipartite Graph Yeqing Li, Feiping Nie, Heng Huang, Junzhou Huang
SCHEDULE: TUESDAY AFTERNOON 17
Tuesday January 27 — 5:45 PM – 8:45 PM 5:45 - 7:15 TEXAS BALLROOM AAAI-15 Shakey Celebration The Shakey Celebration will include a panel with Ed Feigenbaum, Peter Hart, and Nils Nilsson, along with other highlights of this historic project.
7:15 - 8:45 ZILKER BALLROOM AAAI-15 Poster / Demo Reception 1 The Poster / Demo Reception will include technical poster presentations by authors of all papers presented today as Poster Ads, as well as the demos listed below. Doctoral Consortium posters will also be presented (listed below), and robotics exhibitions, Virtual Agents demos ((listed below), and RoboCup exhibitions will be available.
AAAI-15 Technical Demos Bottom-Up Demand Response by Following Local Energy Generation Voluntarily Tobias Linnenberg, Alexander Fay, Michael Kaisers
The Network Data Repository with Interactive Graph Analytics and Visualization Ryan A. Rossi, Nesreen K. Ahmed
World WordNet Database Structure: An Efficient Schema for Storing Information of WordNets of the World
Towards Cognitive Automation of Data Science Alain Biem, Maria A. Butrico, Mark D. Feblowitz, Tim Klinger, Yuri Malitsky, Kenney Ng, Adam Perer, Chandra Reddy, Anton V. Riabov, Horst Samulowitz, Daby Sow, Gerald Tesauro, Deepak Turaga
VecLP: A Realtime Video Recommendation System for Live TV Programs
Multivariate Conditional Anomaly Detection and Its Clinical Application Charmgil Hong, Milos Hauskrecht
Probabilistic Planning with Risk-Sensitive Criterion Ping Hou
Entity Resolution in a Big Data Framework Mayank Kejriwal
Sheng Gao, Dai Zhang, Honggang Zhang, Jianxin Liao, Chao Huang, Yongsheng Zhang, Jun Guo
Non-Classical Planning for Robotic Applications
DeepTutor: An Effective, Online Intelligent Tutoring System that Promotes Deep Learning
Transfer Learning-Based Co-Run Scheduling for Heterogeneous Datacenters
Vasile Rus, Nobal B. Niraula, Rajendra Banjade
Cognitive Master Teacher Raghu Krishnapuram, Luis A. Lastras, Satya Nitta
AAAI-15 Doctoral Consortium Abstract Posters Modeling Eye Movements when Reading Microblogs Maria Barrett, Anders Søgaard
Exploiting the Structure of Distributed Constraint Optimization Problems Ferdinando Fioretto
Realistic Assumptions for Attacks on Elections Zack Fitzsimmons
Social Hierarchical Learning Bradley Hayes
Hanumant Redkar, Sudha Bhingardive, Diptesh Kanojia, Pushpak Bhattacharyya
Scott Kiesel
Wei Kuang, Laura E. Brown, Zhenlin Wang
HVAC-Aware Occupancy Scheduling (Extended Abstract) Boon-Ping Lim
Scalable Agent Modeling for Large Multiagent Systems Carrie Rebhuhn
Explaining Answer Set Programming in Argumentative Terms Claudia Schulz
Optimal Multi-Agent Pathfinding Algorithms Guni Sharon
Multi-Agent Team Formation: Solving Complex Problems by Aggregating Opinions Leandro Soriano Marcolino
Scaling-Up Inference in Markov Logic Deepak Venugopal
Risk-Aware Scheduling throughout Planning and Execution Andrew J. Wang
Hyatt Regency Austin Seventeenth Floor
18 SCHEDULE: TUESDAY EVENING
Virtual Agents Demos Social Simulation with Virtual Agents Arnav Jhala
Cerebella: Automatic Generation of Nonverbal Behavior for Virtual Humans Margot Lhommet, Yuyu Xu, Stacy Marsella
Scheherazade: Crowd-Powered Interactive Narrative Generation Boyang Li, Mark O. Riedl
SimSensei Demonstration: A Perceptive Virtual Human Interviewer for Healthcare Applications Louis-Philippe Morency, Giota Stratou, David DeVault, Arno Hartholt, Margaux Lhommet, Gale Lucas, Fabrizio Morbini, Kallirroi Georgila, Stefan Scherer, Jonathan Gratch, Stacy Marsella, David Traum, Albert Rizzo
LOL — Laugh Out Loud Florian Pecune, Beatrice Biancardi, Yu Ding, Catherine Pelachaud, Maurizio Mancini, Giovanna Varni, Antonio Camurri, Gualtiero Volpe
Using Social Relationships to Control Narrative Generation Julie Porteous, Fred Charles, Marc Cavazza
Interactive Narrative Planning in The Best Laid Plans Stephen G. Ware, R. Michael Young, Phillip Wright, Christian Stith
Wednesday, January 28 — 7:45 AM – 10:55 AM 7:45-8:45 FOOTHILLS II, 17TH FLOOR Women's Mentoring Breakfast
Easily Accessible Paper: Are Features Equally Representative? A Feature-Centric Recommendation Chenyi Zhang, Ke Wang, Ee-peng Lim, Qinneng Xu, Jianling Sun, Hongkun Yu
9:00 - 9:15
COT: Contextual Operating Tensor for Context-Aware Recommender Systems
ZILKER BALLROOM Senior Member Blue Sky Award Talk 2
A Personalized Interest-Forgetting Markov Model for Recommendations
Intelligent Agents for Rehabilitation and Care of Disabled and Chronic Patients Sarit Kraus
TEXAS BALLROOM I What's Hot Talks 3 What's Hot in the Planning Competition Stefan Edelkamp
TEXAS BALLROOM II–III What's Hot Talks 3 What's Hot in Human Factors in Computing Systems Wei Li
9:20 - 10:35 TEXAS I Machine Learning 5 Talks Compress and Control Joel Veness, Marc G. Bellemare, Marcus Hutter, Alvin Chua, Guillaume Desjardins
Expressing Arbitrary Reward Functions as Potential-Based Advice Anna Harutyunyan, Sam Devlin, Peter Vrancx, Ann Nowé
High Confidence Off-Policy Evaluation Philip S. Thomas, Georgios Theocharous, Mohammad Ghavamzadeh
Improving Approximate Value Iteration with Complex Returns by Bounding Robert Wright, Xingye Qiao, Lei Yu, Steven Loscalzo
Poster Ads Unsupervised Cross-Domain Transfer in Policy Gradient Reinforcement Learning via Manifold Alignment Haitham Bou Ammar, Eric Eaton, Paul Ruvolo, Matthew E. Taylor
Optimal Column Subset Selection by A-Star Search Hiromasa Arai, Crystal Maung, Haim Schweitzer
Policy Tree: Adaptive Representation for Policy Gradient Ujjwal Das Gupta, Erik Talvitie, Michael Bowling
Don’t Fall for Tuning Parameters: TuningFree Variable Selection in High Dimensions with the TREX Johannes Lederer, Christian J. Müller
A Generalized Reduced Linear Program for Markov Decision Processes Chandrashekar Lakshminarayanan, Shalabh Bhatnagar
Discriminative Feature Grouping Lei Han, Yu Zhang
Exploiting Task-Feature Co-Clusters in Multi-Task Learning Linli Xu, Aiqing Huang, Jianhui Chen, Enhong Chen
TEXAS II–III AI and the Web 3 Talks Content-Based Collaborative Filtering for News Topic Recommendation Zhongqi Lu, Zhicheng Dou, Jianxun Lian, Xing Xie, Qiang Yang
Qiang Liu, Shu Wu and Liang Wang
Jun Chen, Chaokun Wang, Jianmin Wang
Poster Ads Content-Aware Point of Interest Recommendation on Location-Based Social Networks Huiji Gao, Jiliang Tang, Xia Hu, Huan Liu
Leveraging Social Foci for Information Seeking in Social Media Suhas Ranganath, Jiliang Tang, Xia Hu, Hari Sundaram, Huan Liu
Extended Property Paths: Writing More SPARQL Queries in a Succinct Way Valeria Fionda, Giuseppe Pirrò, Mariano P. Consens
Uniform Interpolation and Forgetting for ALC Ontologies with ABoxes Patrick Koopmann, Renate A. Schmidt
Lower and Upper Bounds for SPARQL Queries over OWL Ontologies Birte Glimm, Yevgeny Kazakov, Ilianna Kollia, Giorgos Stamou
Consistent Knowledge Discovery from Evolving Ontologies Freddy Lécué and Jeff Z. Pan
Using Description Logics for RDF Constraint Checking and Closed-World Recognition Peter F. Patel-Schneider
TEXAS V–VI Knowledge Representation & Reasoning 4 Talks Incremental Update of Datalog Materialisation: The Backward/Forward Algorithm Boris Motik, Yavor Nenov, Robert Piro, Ian Horrocks
Instance-Driven Ontology Evolution in DLLite Zhe Wang, Kewen Wang, Zhiqiang Zhuang, Guilin Qi
Existential Rule Languages with Finite Chase: Complexity and Expressiveness Heng Zhang, Yan Zhang, Jia-Huai You
From Classical to Consistent Query Answering under Existential Rules Thomas Lukasiewicz, Maria Vanina Martinez, Andreas Pieris, Gerardo I. Simari
Solving and Explaining Analogy Questions Using Semantic Networks Adrian Boteanu, Sonia Chernova
HILL COUNTRY AB Reasoning under Uncertainty 1 Talks Bayesian Networks Specified Using Propositional and Relational Constructs: Combined, Data, and Domain Complexity Fabio Gagliardi Cozman, Denis Deratani Mauá
Easily Accessible Paper: Learning Relational Sum-Product Networks Aniruddh Nath, Pedro Domingos
Lifted Probabilistic Inference for Asymmetric Graphical Models Guy Van den Broeck, Mathias Niepert
Linear-Time Gibbs Sampling in Piecewise Graphical Models Hadi Mohasel Afshar, Scott Sanner, Ehsan Abbasnejad
Poster Ads Recovering Causal Effects from Selection Bias Elias Bareinboim, Jin Tian
Multi-Source Domain Adaptation: A Causal View Kun Zhang, Mingming Gong, Bernhard Schölkopf
On the Decreasing Power of Kernel and Distance Based Nonparametric Hypothesis Tests in High Dimensions Aaditya Ramdas, Sashank J. Reddi, Barnabás Póczos, Aarti Singh, Larry Wasserman
Submodular Surrogates for Value of Information Yuxin Chen, Shervin Javdani, Amin Karbasi, J. Andrew Bagnell, Siddhartha Srinivasa, Andreas Krause
Value of Information Based on Decision Robustness Suming Chen, Arthur Choi, Adnan Darwiche
Nonstationary Gaussian Process Regression for Evaluating Clinical Laboratory Test Sampling Strategies Thomas A. Lasko
Loss-Calibrated Monte Carlo Action Selection Ehsan Abbasnejad, Justin Domke, Scott Sanner
On the Equivalence of Linear Discriminant Analysis and Least Squares Kibok Lee, Junmo Kim
Inertial Hidden Markov Models: Modeling Change in Multivariate Time Series George D. Montañez, Saeed Amizadeh, Nikolay Laptev
R1SVM: A Randomised Nonlinear Approach to Large-Scale Anomaly Detection Sarah M. Erfani, Mahsa Baktashmotlagh, Sutharshan Rajasegarar, Shanika Karunasekera, Chris Leckie
Outlier-Robust Convex Segmentation Itamar Katz, Koby Crammer
Aligning Mixed Manifolds Thomas Boucher, Clifton J. Carey, Sridhar Mahadevan, Melinda Darby Dyar
A Regularized Linear Dynamical System Framework for Multivariate Time Series Analysis Zitao Liu, Milos Hauskrecht
TEXAS VII Classic Paper Award Talk / Robotics Student Fellowship Talks Classic Paper Award Talk: Statistical Parsing with a Context-Free Grammar and Word Statistics Eugene Charniak
BIG BEND Machine Learning 7
Robotics Student Fellowship Talks 1 Task-Oriented Planning for Manipulating Articulated Mechanisms Under Model Uncertainty
Talks Pathway Graphical Lasso Maxim Grechkin, Maryam Fazel, Daniela Witten, Su-In Lee
Easily Accessible Paper: PD Disease State Assessment in Naturalistic Environments Using Deep Learning Nils Yannick Hammerla, James M. Fisher, Peter Andras, Lynn Rochester, Richard Walker, Thomas Plötz
Clustering Longitudinal Clinical Marker Trajectories from Electronic Health Data: Applications to Phenotyping and Endotype Discovery Peter Schulam, Fredrick Wigley, Suchi Saria
Poster Ads The Hybrid Nested/Hierarchical Dirichlet Process and Its Application to Topic Modeling with Word Differentiation Tengfei Ma, Issei Sato, Hiroshi Nakagawa
Collaborative Filtering with Localised Ranking Charanpal Dhanjal, Stéphan Clémençon, Romaric Gaudel
Using Machine Teaching to Identify Optimal Training-Set Attacks on Machine Learners Shike Mei, Xiaojin Zhu
Mining User Interests from Personal Photos Pengtao Xie, Yulong Pei, Yuan Xie, Eric Xing
Self-Paced Learning for Matrix Factorization Qian Zhao, Deyu Meng, Lu Jiang, Qi Xie, Zongben Xu, Alexander G. Hauptmann
Detecting Change Points in the Large-Scale Structure of Evolving Networks Leto Peel, Aaron Clauset
Deep Modeling Complex Couplings within Financial Markets Wei Cao, Liang Hu, Longbing Cao
A Multivariate Timeseries Modeling Approach to Severity of Illness Assessment and Forecasting in ICU with Sparse, Heterogeneous Clinical Data
Venkatraman Narayanan
Learning the State of the World: Objectbased State Estimation for Mobile-Manipulation Robots Lawson L.S. Wong
Time-Optimal Learning, Exploration and Control for Mobile Robots in (Partially) Known Environments Vladislav Nenchev
Plan Execution Monitoring through Detection of Unmet Expectations about Action Outcomes Juan Pablo Mendoza
Representation Learning for Robotics Rico Jonschkowski
A Divide and Conquer Approach to Control Complex Continuous State Dynamic Systems using Hierarchical Reinforcement Learning Sean Harris
HILL COUNTRY CD IAAI-15: Crowdsouring and NLP Emerging: Aggregating User Input in Ecology Citizen Science Projects Greg Hines, Alexandra Swanson, Margaret Kosmala, Chris Lintott
Emerging: Using Qualitative Spatial Logic for Validating Crowd-Sourced Geospatial Data Heshan Du, Hai Nguyen, Natasha Alechina, Brian Logan, Michael Jackson, John Goodwin
Emerging: Named Entity Recognition in Travel-Related Search Queries Brooke Cowan, Sven Zethelius, Brittany Luk, Teodora Baras, Prachi Ukarde, Daodao Zhang
10:35 - 10:55 Coffee Break
Marzyeh Ghassemi, Marco A. F. Pimentel, Tristan Naumann, Thomas Brennan, David A. Clifton, Peter Szolovits, Mengling Feng
Spectral Label Refinement for Noisy and Missing Text Labels Yangqiu Song, Chenguang Wang, Ming Zhang, Hailong Sun, Qiang Yang
SCHEDULE: WEDNESDAY MORNING 19
Wednesday, January 28 — 10:55 AM – 12:10 PM 10:55 - 12:10 TEXAS I Machine Learning 6 Talks Obtaining Well Calibrated Probabilities Using Bayesian Binning Mahdi Pakdaman Naeini, Gregory F. Cooper, Milos Hauskrecht
Easily Accessible Paper: Modelling Class Noise with Symmetric and Asymmetric Distributions Jun Du, Zhihua Cai
Bayesian Model Averaging Naive Bayes (BMA-NB): Averaging over an Exponential Number of Feature Models in Linear Time Ga Wu, Scott Sanner, Rodrigo F. S. C. Oliveira
Improving Multi-Step Prediction of Learned Time Series Models Arun Venkatraman, Martial Hebert, J. Andrew Bagnell
Poster Ads A Closed Form Solution to Multi-View LowRank Regression Shuai Zheng, Xiao Cai, Chris Ding, Feiping Nie, Heng Huang
Tensor-Variate Restricted Boltzmann Machines Tu Dinh Nguyen, Truyen Tran, Dinh Phung, Svetha Venkatesh
Structured Sparsity with Group-Graph Regularization Xin-Yu Dai, Jian-Bing Zhang, Shu-Jian Huang, Jia-Jun Chen, Zhi-Hua Zhou
Exact Recoverability of Robust PCA via Outlier Pursuit with Tight Recovery Bounds Hongyang Zhang, Zhouchen Lin, Chao Zhang, Edward Y. Chang
Personalized Tag Recommendation through Nonlinear Tensor Factorization Using Gaussian Kernel Xiaomin Fang, Rong Pan, Guoxiang Cao, Xiuqiang He, Wenyuan Dai
Embedded Unsupervised Feature Selection Suhang Wang, Jiliang Tang, Huan Liu
Optimal Estimation of Multivariate ARMA Models Martha White, Junfeng Wen, Michael Bowling, Dale Schuurmans
A Nonconvex Relaxation Approach for Rank Minimization Problems Xiaowei Zhong, Linli Xu, Yitan Li, Zhiyuan Liu, Enhong Chen
TEXAS II–III AI and the Web 4 Talks A New Granger Causal Model for Influence Evolution in Dynamic Social Networks: The Case of DBLP Belkacem Chikhaoui, Mauricio Chiazzaro, Shengrui Wang
Sampling Representative Users from Large Social Networks Jie Tang, Chenhui Zhang, Keke Cai, Li Zhang, Zhong Su
Incorporating Assortativity and Degree Dependence into Scalable Network Models Stephen Mussmann, John Moore, Joseph J. Pfeiffer III, Jennifer Neville
Online Bayesian Models for Personal Analytics in Social Media Svitlana Volkova, Benjamin Van Durme
Poster Ads On the Impossibility of Convex Inference in Human Computation Nihar B. Shah, Dengyong Zhou
Crowdsourcing Complex Workflows under Budget Constraints Long Tran-Thanh, Trung Dong Huynh, Avi Rosenfeld, Sarvapali D. Ramchurn, Nicholas R. Jennings
Novel Mechanisms for Online Crowdsourcing with Unreliable, Strategic Agents Praphul Chandra, Yadati Narahari, Debmalya Mandal, Prasenjit Dey
Minimizing User Involvement for Accurate Ontology Matching Problems Anika Schumann, Freddy Lecue
Robust Image Sentiment Analysis Using Progressively Trained and Domain Transferred Deep Networks Quanzeng You, Jiebo Luo, Hailin Jin, Jianchao Yang
Perceiving Group Themes from Collective Social and Behavioral Information Peng Cui, Tianyang Zhang, Fei Wang, Peng He
Exploring Key Concept Paraphrasing Based on Pivot Language Translation for Question Retrieval Wei-Nan Zhang, Zhao-Yan Ming, Yu Zhang, Ting Liu, Tat-Seng Chua
TEXAS V–VI Heuristic Search and Optimization 1 Talks Recursive Best-First Search with Bounded Overhead Matthew Hatem, Scott Kiesel, Wheeler Ruml
Limitations of Front-to-End Bidirectional Heuristic Search Joseph K. Barker, Richard E. Korf
Value-Directed Compression of Large-Scale Assignment Problems Tyler Lu, Craig Boutilier
Poster Ads Algorithm Selection via Ranking Richard J. Oentaryo, Stephanus Daniel Handoko, Hoong Chuin Lau
Solving Hard Stable Matching Problems via Local Search and Cooperative Parallelization Danny Munera, Daniel Diaz, Salvador Abreu, Francesca Rossi, Vijay Saraswat, Philippe Codognet
Optimizing the CVaR via Sampling Aviv Tamar, Yonatan Glassner, Shie Mannor
A Mathematical Programming-Based Approach to Determining Objective Functions from Qualitative and Subjective Comparisons Takayuki Yoshizumi
Lagrangian Decomposition Algorithm for Allocating Marketing Channels Daisuke Hatano, Takuro Fukunaga, Takanori Maehara, Ken-ichi Kawarabayashi
An Efficient Forest-Based Tabu Search Algorithm for the Split-Delivery Vehicle Routing Problem Zizhen Zhang, Huang He, Zhixing Luo, Hu Qin, Songshan Guo
Multi-Agent Path Finding on Strongly Biconnected Graphs Adi Botea, Pavel Surynek
Two Weighting Local Search for Minimum Vertex Cover Shaowei Cai, Jinkun Lin, Kaile Su
Exploiting Variable Associations to Configure Efficient Local Search in Large-Scale Set Partitioning Problems Shunji Umetani
Improved Local Search for Binary Matrix Factorization Seyed Hamid Mirisaee, Eric Gaussier, Alexandre Termier
Stochastic Local Search for Satisfiability Modulo Theories. Andreas Fröhlich, Armin Biere, Christoph M. Wintersteiger, Youssef Hamadi
20 SCHEDULE: WEDNESDAY MORNING
TDS+: Improving Temperature Discovery Search Yeqin Zhang, Martin Müller
HILL COUNTRY AB Reasoning under Uncertainty 2 Talks An Improved Lower Bound for Bayesian Network Structure Learning Xiannian Fan, Changhe Yuan
Spectral Learning of Predictive State Representations with Insufficient Statistics Alex Kulesza, Nan Jiang, Satinder Singh
Knowledge-Based Probabilistic Logic Learning Phillip Odom, Tushar Khot, Reid Porter, Sriraam Natarajan
Learning Relational Kalman Filtering Jaesik Choi, Eyal Amir, Tianfang Xu, Albert J. Valocchi
Poster Ads An Exact Algorithm for Solving Most Relevant Explanation in Bayesian Networks Xiaoyuan Zhu, Changhe Yuan
Support Consistency of Direct SparseChange Learning in Markov Networks Song Liu, Taiji Suzuki, Masashi Sugiyama
Concurrent PAC RL Zhaohan Daniel Guo, Emma Brunskill
Nonparametric Scoring Rules Erik Zawadzki, Sébastien Lahaie
Probabilistic Graphical Models for Boosting Cardinal and Ordinal Peer Grading in MOOCs Fei Mi, Dit-Yan Yeung
Learning to Reject Sequential Importance Steps for Continuous-Time Bayesian Networks Jeremy C. Weiss, Sriraam Natarajan, C. David Page
Representing Aggregators in Relational Probabilistic Models David Buchman, David Poole
BIG BEND Game Theory & Economic Paradigms 2 Talks On a Competitive Secretary Problem Anna Karlin, Eric Lei
Computing Nash Equilibrium in Interdependent Defense Games Hau Chan, Luis E. Ortiz
Combining Compact Representation and Incremental Generation in Large Games with Sequential Strategies Branislav Bosansky, Albert Xin Jiang, Milind Tambe, Christopher Kiekintveld
A Graphical Representation for Games in Partition Function Form Oskar Skibski, Tomasz P. Michalak, Yuko Sakurai, Michael Wooldridge, Makoto Yokoo
Poster Ads Congestion Games with Distance-Based Strict Uncertainty Reshef Meir, David Parkes
Efficient Computation of Semivalues for Game-Theoretic Network Centrality Piotr L. Szczepański, Mateusz K. Tarkowski, Tomasz P. Michalak, Paul Harrenstein, Michael Wooldridge
Optimal Machine Strategies to Commit to in Two-Person Repeated Games Song Zuo, Pingzhong Tang
Security Games with Protection Externalities Jiarui Gan, Bo An, Yevgeniy Vorobeychik
Online Learning and Profit Maximization from Revealed Preferences Kareem Amin, Rachel Cummings, Lili Dworkin, Michael Kearns, Aaron Roth
Learning Valuation Distributions from Partial Observation Avrim Blum, Yishay Mansour, Jamie Morgenstern
Sequence-Form Algorithm for Computing Stackelberg Equilibria in Extensive-Form Games Branislav Bosansky, Jirí Cermák
TEXAS VII Senior Member Blue Sky Talks 2 Towards a Programmer's Apprentice (Again) Howard Shrobe, Boris Katz, Randall Davis
Conducting Neuroscience to Guide the Development of AI Jeffrey Mark Siskind
Machanism Learning with Mechanism Induced Data Tie-Yan Liu, Wei Chen, Tao Qin
Challenges in Resource and Cost Allocation Toby Walsh
Explaining Watson: Polymath Style Wlodek Zadrozny, Valeria de Paiva, Lawrence S. Moss
HILL COUNTRY CD IAAI-15: Challenge Paper Session Challenge: The Winograd Schema Challenge: Evaluating Progress in Commonsense Reasoning Leora Morgenstern, Charles L. Ortiz. Jr.
Challenge: Elementary School Science and Math Tests as a Driver for AI: Take the Aristo Challenge! Peter Clark
Challenge: Time-Varying Clusters in LargeScale Flow Cytometry Jeremy Hyrkas, Daniel Halperin, Bill Howe
Wednesday, January 28 — 12:10 PM – 2:50 PM 12:10 - 1:40 Lunch Break / Student Abstract Talks / AAAI Lunch with a Fellow Program TEXAS I Student Abstract Talks Poster Ads Representation Discovery for MDPs Using Bisimulation Metrics Sherry Shanshan Ruan, Gheorghe Comanici, Prakash Panangaden, Doina Precup
“Is It Rectangular?” Using I Spy as an Interactive, Game-Based Approach to Multimodal Robot Learning Natalie Paige Parde, Michalis Papakostas, Konstantinos Tsiakas, Rodney D. Nielsen
Multimedia Data for the Visually Impaired Niket Tandon, Shekhar Sharma, Tanima Makkad
Combining Machine Learning and Crowdsourcing for Better Understanding Commodity Reviews Heting Wu, Hailong Sun, Yili Fang, Kefan Hu, Yongqing Xie, Yangqiu Song, Xudong Liu
Just-in-Time Hierarchical Constraint Decomposition Valentin Mayer-Eichberger
Active Learning for Informative Projection
Retrieval Madalina Fiterau, Artur Dubrawski
Language Independent Feature Extractor Young-Seob Jeong, Ho-Jin Choi
Mayank Kejriwal, Daniel P. Miranker
Global Policy Construction in Modular Reinforcement Learning
Self-Organized Collective Decision-Making in a 100-Robot Swarm
Ruohan Zhang, Zhao Song, Dana H. Ballard
Gabriele Valentini, Heiko Hamann, Marco Dorigo
Handling Uncertainty in Answer Set Programming Yi Wang, Joohyung Lee
Query Abduction for ELH Ontologies Mahsa Chitsaz, Zhe Wang, Kewen Wang
Planning with Numeric Timed Initial Fluents Chiara Piacentini, Maria Fox, Derek Long
A New Computational Intelligence Model for Long-Term Prediction of Solar and Geomagnetic Activity Mahboobeh Parsapoor, John Brooke, Bertil Svensson
Every Team Deserves a Second Chance: Identifying When Things Go Wrong Vaishnavh Nagarajan, Leandro Soriano Marcolino, Milind Tambe
Touchless Telerobotic Surgery - Is It Possible at All? Tian Zhou, Maria Eugenia Cabrera, Juan Pablo Wachs
GEF: A Self-Programming Robot Using Grammatical Evolution Charles Peabody, Jennifer Seitzer
Sorted Neighborhood for the Semantic Web
Leveraging Common Structure to Improve Prediction across Related Datasets Matt Barnes, Nick Gisolfi, Madalina Fiterau, Artur Dubrawski
Acronym Disambiguation Using Word Embedding Chao Li, Lei Ji, Jun Yan
Graphical Representation of AssumptionBased Argumentation Claudia Schulz
Finding Meaningful Gaps to Guide Data Acquisition for a Radiation Adjudication System Nick Gisolfi, Madalina Fiterau, Artur Dubrawski
Modelling Individual Negative Emotion Spreading Process with Mobile Phones Zhanwei Du, Yongjian Yang, Chuang Ma, Yuan Bai
Time-Sensitive Opinion Mining for Prediction
A Goal-Based Model of Personality for Planning-Based Narrative Generation Julio César Bahamón, Camille Barot, R. Michael Young
1:40 - 2:30 ZILKER BALLROOM AAAI-15 Invited Talk Deep Learning Geoffrey Hinton (University of Toronto and Google Inc) Introduction by Stuart Russell
TEXAS BALLROOM I-III IAAI-15 Invited Talk Title TBA Rayid Ghani (University of Chicago) Introduction by Peter Yeh
2:30 - 2:50 Coffee Break
Wenting Tu, David Cheung, Nikos Mamoulis
Hyatt Regency Austin Second Floor
SCHEDULE: WEDNESDAY AFTERNOON 21
Wednesday, January 28 — 2:50 PM – 5:30 PM 2:50 - 4:30 TEXAS I Natural Language Processing 2 Talks Extracting Verb Expressions Implying Negative Opinions Huayi Li, Arjun Mukherjee, Jianfeng Si, Bing Liu
Unsupervised Phrasal Near-Synonym Generation from Text Corpora Dishan Gupta, Jaime Carbonell, Anatole Gershman, Steve Klein, David Miller
Phrase Type Sensitive Tensor Indexing Model for Semantic Composition Yu Zhao, Zhiyuan Liu, Maosong Sun
Learning Word Representations from Relational Graphs Danushka Bollegala, Takanori Maehara, Yuichi Yoshida, Ken-ichi Kawarabayashi
Sense-Aware Semantic Analysis: A MultiPrototype Word Representation Model Using Wikipedia Zhaohui Wu, C. Lee Giles
Easily Accessible Paper: Chinese Common Noun Phrase Resolution: An Unsupervised Probabilistic Model Rivaling Supervised Resolvers Chen Chen, Vincent Ng
Poster Ads Microblog Sentiment Classification with Contextual Knowledge Regularization Fangzhao Wu, Yangqiu Song, Yongfeng Huang
Generating Event Causality Hypotheses through Semantic Relations Chikara Hashimoto, Kentaro Torisawa, Julien Kloetzer, Jong-Hoon Oh
Unsupervised Word Sense Disambiguation Using Markov Random Field and Dependency Parser Devendra Singh Chaplot, Pushpak Bhattacharyya, Ashwin Paranjape
Semantic Lexicon Induction from Twitter with Pattern Relatedness and Flexible Term Length Ashequl Qadir, Pablo N. Mendes, Daniel Gruhl, Neal Lewis
Refer-to-as Relations as Semantic Knowledge Song Feng, Sujith Ravi, Ravi Kumar, Polina Kuznetsova, Wei Liu, Alexander C. Berg, Tamara L. Berg, Yejin Choi
TEXAS II–III Computational Sustainability and AI 2 Talks Aggregating Electric Cars to Sustainable Virtual Power Plants: The Value of Flexibility in Future Electricity Markets Micha Kahlen, Wolfgang Ketter
Sharing Rides with Friends: A Coalition Formation Algorithm for Ridesharing Filippo Bistaffa, Alessandro Farinelli, Sarvapali D. Ramchurn
HVAC-Aware Occupancy Scheduling BoonPing Lim, Menkes van den Briel, Sylvie Thiébaux, Scott Backhaus, Russell Bent
Pattern Decomposition with Complex Combinatorial Constraints: Application to Materials Discovery Stefano Ermon, Ronan Le Bras, Santosh K. Suram, John M. Gregoire, Carla P. Gomes, Bart Selman, Robert B. van Dover
FutureMatch: Combining Human Value Judgments and Machine Learning to Match in Dynamic Environments John P. Dickerson, Tuomas Sandholm
Poster Ads Energy Usage Behavior Modeling in Energy Disaggregation via Marked Hawkes Process
Recommending Positive Links in Signed Social Networks by Optimizing a Generalized AUC Dongjin Song, David A. Meyer
Real-Time Predictive Optimization for Energy Management in a Hybrid Electric Vehicle Alexander Styler, Illah Nourbakhsh
Incentivizing Users for Balancing Bike Sharing Systems Adish Singla, Marco Santoni, Gábor Bartók, Pratik Mukerji, Moritz Meenen, Andreas Krause
Data Analysis and Optimization for (Citi)Bike Sharing Eoin O'Mahony, David B. Shmoys
A Simulator of Human Emergency Mobility following Disasters: Knowledge Transfer from Big Disaster Data Xuan Song, Quanshi Zhang, Yoshihide Sekimoto, Ryosuke Shibasaki, Nicholas Jing Yuan, Xing Xie
Risk Based Optimization for Improving Emergency Medical Systems Sandhya Saisubramanian, Pradeep Varakantham, Hoong Chuin Lau
TEXAS V–VI Knowledge Representation & Reasoning 5 Talks How Many Diagnoses Do We Need? Roni Stern, Meir Kalech, Shelly Rogov, Alexander Feldman
Knowledge Forgetting in Circumscription: A Preliminary Report Yisong Wang, Kewen Wang, Zhe Wang, Zhiqiang Zhuang
Partial Meet Revision and Contraction in Logic Programs Sebastian Binnewies, Zhiqiang Zhuang, Kewen Wang
A Syntax-Independent Approach to Forgetting in Disjunctive Logic Programs James P. Delgrande, Kewen Wang
On the Role of Canonicity in Knowledge Compilation Guy Van den Broeck, Adnan Darwiche
Learning Partial Lexicographic Preference Trees over Combinatorial Domains Xudong Liu, Mirek Truszczynski
Poster Ads A Comparison of Qualitative and Metric Spatial Relation Models for Scene Understanding Akshaya Thippur, Chris Burbridge, Lars Kunze, Marina Alberti, John Folkesson, Patric Jensfelt, Nick Hawes
Propagating Ranking Functions on a Graph: Algorithms and Applications Buyue Qian, Xiang Wang, Ian Davidson
Game-Theoretic Approach for Non-Cooperative Planning Jaume Jordán, Eva Onaindia
Multi-Robot Auctions for Allocation of Tasks with Temporal Constraints Ernesto Nunes, Maria Gini
Poster Ads Facility Location with Double-Peaked Preferences Aris Filos-Ratsikas, Minming Li, Jie Zhang, Qiang Zhang
Fast Convention Formation in Dynamic Networks Using Topological Knowledge Mohammad Rashedul Hasan, Anita Raja, Ana Bazzan
A Counter Abstraction Technique for the Verification of Robot Swarms
Talks Spontaneous Retrieval from Long-Term Memory for a Cognitive Architecture Justin Li, John Laird
Automatic Ellipsis Resolution: Recovering Covert Information from Text Marjorie McShane, Petr Babkin
Automated Construction of Visual-Linguistic Knowledge via Concept Learning from Cartoon Videos Jung-Woo Ha, Kyung-Min Kim, Byoung-Tak Zhang
Ontology-Based Information Extraction with a Cognitive Agent Peter Lindes, Deryle W. Lonsdale, David W. Embley
Extending Analogical Generalization with Near-Misses Matthew D. McLure, Scott E. Friedman, Kenneth D. Forbus
Learning Plausible Inferences from Semantic Web Knowledge by Combining Analogical Generalization with Structured Logistic Regression Chen Liang, Kenneth D. Forbus
Poster Ads An Agent-Based Model of the Emergence and Transmission of a Language System for the Expression of Logical Combinations Josefina Sierra-Santibáñez
Predicting Emotion Perception across Domains: A Study of Singing and Speaking Biqiao Zhang, Emily Mower Provost, Robert Swedberg, Georg Essl
Constructing Models of User and Task Characteristics from Eye Gaze Data for UserAdaptive Information Highlighting Matthew Gingerich, Cristina Conati
Bayesian Affect Control Theory of Self
Talks An Empirical Study on the Practical Impact of Prior Beliefs over Policy Types
TEXAS VII Senior Member Summary Talks 1
Incentives for Subjective Evaluations with Private Beliefs Goran Radanovic, Boi Faltings
UT Austin Villa 2014: RoboCup 3D Simulation League Champion via Overlapping Layered Learning Patrick MacAlpine, Mike Depinet, Peter Stone
Automated Analysis of Commitment Protocols Using Probabilistic Model Checking Akin Günay, Song Songzheng, Yang Liu, Jie Zhang
Liangda Li, Hongyuan Zha
22 SCHEDULE: WEDNESDAY AFTERNOON
Deployed: Graph Analysis for Detecting Fraud, Waste, and Abuse in Healthcare Data Juan Liu, Eric Bier, Aaron Wilson, Tomo Honda, Sricharan Kumar, Leilani Gilpin, John Guerra-Gomez, Daniel Davies
Emerging: Automated Problem List Generation from Electronic Medical Records in IBM Watson Murthy Devarakonda, Ching-Huei Tsou
Emerging: Preventing HIV Spread in Homeless Populations Using PSINET Amulya Yadav, Leandro Soriano Marcolino, Eric Rice, Robin Petering, Hailey Winetrobe, Harmony Rhoades, Milind Tambe, Heather Carmichael
Panagiotis Kouvaros, Alessio Lomuscio
BIG BEND Cognitive Systems 1
HILL COUNTRY AB Multiagent Systems 2
Stefano V. Albrecht, Jacob W. Crandall, Subramanian Ramamoorthy
HILL COUNTRY CD IAAI-15: Healthcare
Jesse Hoey, Tobias Schröder
Towards User-Adaptive Information Visualization Cristina Conati, Giuseppe Carenini, Dereck Toker, Sébastien Lallé
On the Diagnosis of Cyber-Physical Production Systems: State-of-the-Art and Research Agenda Oliver Niggemann, Volker Lohweg
Languages for Mining and Learning Luc De Raedt
Abstraction for Solving Large Incomplete-Information Games Tuomas Sandholm
4:30 - 5:30 Long Break
Wednesday, January 28 — 5:30 PM – 10:00 PM 5:30 - 6:30
6:30 - 8:00
TEXAS BALLROOM AAAI-15 Community Meeting
ZILKER BALLROOM AAAI-15 Poster / Demo Reception 2
AAAI welcomes all conference attendees to this inaugural AAAI community meeting, which will also serve as the AAAI Annual Business Meeting. Please join us as we explore current initiatives, and help chart the future course and objectives of AAAI.
The Poster / Demo Reception will include technical poster presentations of all papers presented today as Poster Ads, as well as the demos listed below. Student Abstract posters of talks presented during today’s lunch break will also be presented, and robotics exhibitions and game exhibits will be available.
Moderator: Thomas G. Dietterich, AAAI President
Inferring Latent User Properties from Texts Published in Social Media
A Neural Probabilistic Model for Context Based Citation Recommendation
Svitlana Volkova, Yoram Bachrach, Michael Armstrong, Vijay Sharma
Wenyi Huang, Zhaohui Wu, Chen Liang, Prasenjit Mitra, C. Lee Giles
Tartanian7: A Champion Two-Player NoLimit Texas Hold'em Poker-Playing Program Noam Brown, Sam Ganzfried, Tuomas Sandholm
Circumventing Robots' Failures by Embracing Their Faults: A Practical Approach to Planning for Autonomous Construction Stefan Witwicki, Francesco Mondada
AAAI-15 Technical Demos A Planning-Based Assistance System for Setting Up a Home Theater Pascal Bercher, Felix Richter, Thilo Hörnle, Thomas Geier, Daniel Höller, Gregor Behnke, Florian Nothdurft, Frank Honold, Wolfgang Minker, Michael Weber, Susanne Biundo
On Correcting Misspelled Queries in Email Search
CrowdMR: Integrating Crowdsourcing with MapReduce for AI-Hard Problems Jun Chen, Chaokun Wang, Yiyuan Bai
8:15 - 10:00 FOOTHILLS II, 17TH FLOOR AAAI-15 Games Night
Abhijit Bhole, Raghavendra Udupa
Crow Motion Monitoring with Thermodynamics-Inspired Feature Xinfeng Zhang, Su Yang, Yuan Yan Tang, Weishan Zhang
Hyatt Regency Austin Zilker Ballroom First and Second Floors
SCHEDULE: WEDNESDAY EVENING 23
Thursday, January 29 — 9:00 AM – 11:50 AM 9:00 - 9:50 ZILKER BALLROOM AAAI-15 Invited Talk Intelligent Decisions Meinolf Sellmann (IBM Thomas J. Watson Research Center) Introduction by Holger H. Hoos
9:50 - 10:10 Coffee Break
10:10 - 11:50 TEXAS I Natural Language Processing 3 Talks Dataless Text Classification with Descriptive LDA Xingyuan Chen, Yunqing Xia, Peng Jin, John Carroll
Ordering-Sensitive and Semantic-Aware Topic Modeling Min Yang, Tianyi Cui, Wenting Tu
A Neural Probabilistic Model for Context Based Citation Recommendation Wenyi Huang, Zhaohui Wu, Chen Liang, Prasenjit Mitra, C. Lee Giles
Learning to Recommend Quotes for Writing Jiwei Tan, Xiaojun Wan, Jianguo Xiao
Topical Word Embeddings Yang Liu, Zhiyuan Liu, Tat-Seng Chua, Maosong Sun
Poster Ads Recurrent Convolutional Neural Networks for Text Classification Siwei Lai, Liheng Xu, Kang Liu, Jun Zhao
A Novel Neural Topic Model and Its Supervised Extension Ziqiang Cao, Sujian Li, Yang Liu, Wenjie Li, Heng Ji
Surveyor: A System for Generating Coherent Survey Articles for Scientific Topics Rahul Jha, Reed Coke, Dragomir Radev
Topic Segmentation with an Ordering-Based Topic Model Lan Du, John K. Pate, Mark Johnson
A Probabilistic Covariate Shift Assumption for Domain Adaptation Tameem Adel, Alexander Wong
Towards Knowledge-Driven Annotation Yassine Mrabet, Claire Gardent, Muriel Foulonneau, Elena Simperl, Eric Ras
Gazetteer-Independent Toponym Resolution Using Geographic Word Profiles Grant DeLozier, Jason Baldridge, Loretta London
TEXAS II–III Game Theory and Economic Paradigms 3 Talks Do Capacity Constraints Constrain Coalitions? Michal Feldman, Ofir Geri
Cooperative Game Solution Concepts that Maximize Stability under Noise Yuqian Li, Vincent Conitzer
Solving Games with Functional Regret Estimation Kevin Waugh, Dustin Morrill, J. Andrew Bagnell, Michael Bowling
Hedonic Coalition Formation in Networks Martin Hoefer, Daniel Vaz, Lisa Wagner
Fair Information Sharing for Treasure Hunting
Yiling Chen, Kobbi Nissim, Bo Waggoner
Exploring Information Asymmetry in TwoStage Security Games Haifeng Xu, Zinovi Rabinovich, Shaddin Dughmi, Milind Tambe
Poster Ads Balanced Trade Reduction for Dual-Role Exchange Markets Dengji Zhao, Sarvapali D. Ramchurn, Enrico H. Gerding, Nichols R. Jennings
Elicitation for Aggregation Rafael M. Frongillo, Yiling Chen, Ian A. Kash
Controlled School Choice with Soft Bounds and Overlapping Types Ryoji Kurata, Masahiro Goto, Atsushi Iwasaki, Makoto Yokoo
Audit Games with Multiple Defender Resources Jeremiah Blocki, Nicolas Christin, Anupam Datta, Ariel Procaccia, Arunesh Sinha
TEXAS V–VI Planning and Scheduling 3 Talks AAAI-15 Outstanding Paper Award: From Non-Negative to General Operator Cost Partitioning Florian Pommerening, Malte Helmert, Gabriele Röger, Jendrik Seipp
Easily Accessible Paper: Automatic Configuration of Sequential Planning Portfolios Jendrik Seipp, Silvan Sievers, Malte Helmert, Frank Hutter
A Generalization of Sleep Sets Based on Operator Sequence Redundancy Robert C. Holte, Yusra Alkhazraji, Martin Wehrle
Heuristics and Symmetries in Classical Planning Alexander Shleyfman, Michael Katz, Malte Helmert, Silvan Sievers, Martin Wehrle
Tractability of Planning with Loops Siddharth Srivastava, Shlomo Zilberstein, Abhishek Gupta, Pieter Abbeel, Stuart Russell
Goal Recognition Design for Non-Optimal Agents Sarah Keren, Avigdor Gal, Erez Karpas
Poster Ads Tractable Cost-Optimal Planning over Restricted Polytree Causal Graphs Meysam Aghighi, Peter Jonsson, Simon Ståhlberg
Factored Symmetries for Merge-and-Shrink Abstractions Silvan Sievers, Martin Wehrle, Malte Helmert, Alexander Shleyfman, Michael Katz
Some Fixed Parameter Tractability Results for Planning with Non-Acyclic DomainTransition Graphs Christer Bäckström
Measuring Plan Diversity: Pathologies in Existing Approaches and a New Plan Distance Metric Robert P. Goldman, Ugur Kuter
Variable-Deletion Backdoors to Planning Martin Kronegger, Sebastian Ordyniak, Andreas Pfandler
Matrix Completion Quanming Yao, James T. Kwok
Spectral Clustering Using Multilinear SVD: Analysis, Approximations and Applications Debarghya Ghoshdastidar, Ambedkar Dukkipati
Learning to Describe Video with Weak Supervision by Exploiting Negative Sentential Information Haonan Yu, Jeffrey Mark Siskind
AAAI-15 Outstanding Student Paper Award: Surpassing Human-Level Face Verification Performance on LFW with GaussianFace Chaochao Lu, Xiaoou Tang
Poster Ads Multi-View Point Registration via Alternating Optimization Junchi Yan, Jun Wang, Hongyuan Zha, Xiaokang Yang, Stephen M. Chu
Sparse Deep Stacking Network for Image Classification Jun Li, Heyou Chang, Jian Yang
Dictionary Learning with Mutually Reinforcing Group-Graph Structures Hongteng Xu, Licheng Yu, Dixin Luo, Hongyuan Zha, Yi Xu
Person Identification Using Anthropometric and Gait Data from Kinect Sensor Virginia O. Andersson, Ricardo M. Araujo
Approximate MaxEnt Inverse Optimal Control and its Application for Mental Simulation of Human Interactions De-An Huang, Amir-massoud Farahmand, Kris M. Kitani, J. Andrew Bagnell
BIG BEND Cognitive Systems 2 Talks Inference Graphs: Combining Natural Deduction and Subsumption Inference in a Concurrent Reasoner Daniel R. Schlegel, Stuart C. Shapiro
Providing Arguments in Discussions Based on the Prediction of Human Argumentative Behavior Ariel Rosenfeld, Sarit Kraus
Scalable and Interpretable Data Representation for High-Dimensional, Complex Data Been Kim, Kayur Patel, Afshin Rostamizadeh, Julie Shah
Easily Accessible Paper: When Suboptimal Rules Avshalom Elmalech, David Sarne, Avi Rosenfeld, Eden Shalom Erez
Heuristic Induction of Rate-Based Process Models Pat Langley, Adam Arvay
Poster Ads Using Supervised Learning to Uncover Deep Musical Structure Phillip B. Kirlin, David D. Jensen
AffectiveSpace 2: Enabling Affective Intuition for Concept-Level Sentiment Analysis Erik Cambria, Jie Fu, Federica Bisio, Soujanya Poria
Moral Decision-Making by Analogy: Generalizations versus Exemplars Joseph A. Blass, Kenneth D. Forbus
HILL COUNTRY AB Vision 1 Talks Integrating Image Clustering and Codebook Learning Pengtao Xie, Eric Xing
A Bayesian Approach to Perceptual 3D Object-Part Decomposition Using SkeletonBased Representations Tarek El-Gaaly, Vicky Froyen, Ahmed Elgammal, Jacob Feldman, Manish Singh
Colorization by Patch-Based Local Low-Rank
24 SCHEDULE: THURSDAY MORNING
Collaboration in Social Problem-Solving: When Diversity Trumps Network Efficiency Diego V. Noble, Marcelo O. R. Prates, Daniel S. Bossle, Luís C. Lamb
An Association Network for Computing Semantic Relatedness Keyang Zhang, Kenny Q. Zhu, Seung-won Hwang
A Stackelberg Game Approach for Incentivizing Participation in Online Educational Forums with Heterogeneous Student Population Rohith D Vallam, Priyanka Bhatt, Debmalya Mandal, Y. Narahari
Dialogue Understanding in a Logic of Action and Belief Alfredo Gabaldon, Pat Langley
TEXAS VII What's Hot Talks 4 What's Hot in the Angry Birds Artificial Intelligence Competition Jochen Renz
What's Hot in the Automated Negotiating Agents Competition Koen Hindriks
What's Hot in the SAT and ASP Competitions Marijn Heule, Torsten Schaub
What's Hot in Knowledge Representation and Reasoning (KR) Chitta Baral
What's Hot in Knowledge Discovery and Data Mining (KDD) Wei Wang
What's Hot in Crowdsourcing and Human Computation (HCOMP) Jeffrey Bigham
HILL COUNTRY CD IAAI-15: Fraud Detection and Planning Deployed: Robust System for Identifying Procurement Fraud Amit Dhurandhar, Rajesh Ravi, Bruce Graves, Gopikrishnan Maniachari, Markus Ettl
Emerging: Design and Experiment of a Collaborative Planning Service for NetCentric International Brigade Command Christophe Guettier, Willy Lamal, Israël Mayk, Jacques Yelloz
Deployed: Activity Planning for a Lunar Orbital Mission John L. Bresina
Thursday, January 29 — 11:50 AM – 1:50 PM 11:50 - 1:20 Lunch Break / Student Abstract Talks / AAAI Lunch with a Fellow Program TEXAS I Student Abstract Talks Poster Ads Accelerating SAT Solving by Common Subclause Elimination Yaowei Yan, Chris E. Gutierrez, Jeriah JnCharles, Forrest Sheng Bao, Yuanlin Zhang
Dealing with Trouble: A Data-Driven Model of a Repair Type for a Conversational Agent Sviatlana Höhn
Combining Ontology Class Expression Generation with Mathematical Modeling for Ontology Learning Jedrzej Potoniec, Agnieszka Lawrynowicz
Effect of Spatial Pooler Initialization on Column Activity in Hierarchical Temporal Memory Mackenzie Leake, Liyu Xia, Kamil Rocki, Wayne Imaino
Active Advice Seeking for Inverse Reinforcement Learning Phillip Odom, Sriraam Natarajan
A Sequence Labeling Approach to Deriving Word Variants Jennifer D'Souza
Learning Word Vectors Efficiently Using Shared Representations and Document Representations Qun Luo, Weiran Xu
What Is the Longest River in the USA? Semantic Parsing for Aggregation Questions Kun Xu, Sheng Zhang, Yansong Feng, Songfang Huang, Dongyan Zhao
A Multi-Pass Sieve for Name Normalization Jennifer D'Souza
Improving Microblog Retrieval from Exterior Corpus by Automatically Constructing a Microblogging Corpus Wenting Tu, David Cheung, Nikos Mamoulis
Spatio-Temporal Signatures of User-Centric Data: How Similar Are We?
Samta Shukla, Aditya Telang, Salil Joshi, L. Venkat Subramaniam
Coupled Collaborative Filtering for ContextAware Recommendation Xinxin Jiang, Wei Liu, Longbing Cao, Guodong Long
Predicting the Quality of User Experiences to Improve Productivity and Wellness Priya Lekha Donti, Jacob Rosenbloom, Alex Gruver, James C. Boerkoel Jr.
Designing Vaccines that Are Robust to Virus Escape Swetasudha Panda, Yevgeniy Vorobeychik
A Succinct Conceptualization of the Foundations for a Network Organization Paradigm
Improving Cross-Domain Recommendation through Probabilistic Cluster-Level Latent Factor Model Siting Ren, Sheng Gao, Jianxin Liao, Jun Guo
Characterizing Performance of Consistency Algorithms by Algorithm Configuration of Random CSP Generators Daniel J. Geschwender, Robert J. Woodward, Berthe Y. Choueiry
On Manipulablity of Random Serial Dictatorship in Sequential Matching with Dynamic Preferences Hadi Hosseini, Kate Larson, Robin Cohen
Placing Influencing Agents in a Flock Katie Genter, Peter Stone
Saad Alqithami
Actionable Combined High Utility Itemset Mining Jingyu Shao, Junfu Yin, Wei Liu, Longbing Cao
Stochastic Blockmodeling for Online Advertising
1:20 - 1:50 ZILKER BALLROOM Video Competition Awards
Li Chen, Matthew Patton
Hyatt Regency Austin First Floor
SCHEDULE: THURSDAY AFTERNOON 25
Thursday, January 29 — 1:55 PM – 3:30 PM 1:55 - 3:10 TEXAS I Machine Learning 8 Talks Marginalized Denoising for Link Prediction and Multi-Label Learning Zheng Chen, Minmin Chen, Kilian Q. Weinberger, Weixiong Zhang
Large-Margin Multi-Label Causal Feature Learning Chang Xu, Dacheng Tao, Chao Xu
Doubly Robust Covariate Shift Correction Sashank Jakkam Reddi, Barnabás Póczos, Alex Smola
Poster Ads TODTLER: Two-Order-Deep Transfer Learning Jan Van Haaren, Andrey Kolobov, Jesse Davis
Absent Multiple Kernel Learning Xinwang Liu, Lei Wang, Jianping Yin, Yong Dou, Jian Zhang
Learning Sparse Representations from Datasets with Uncertain Group Structures: Model, Algorithm and Applications Longwen Gao, Shuigeng Zhou
Large Margin Metric Learning for Multi-Label Prediction Weiwei Liu, Ivor W. Tsang
Variational Inference for Nonparametric Bayesian Quantile Regression Sachinthaka Abeywardana, Fabio Ramos
Multi-Task Learning and Algorithmic Stability Yu Zhang
Random Gradient Descent Tree: A Combinatorial Approach for SVM with Outliers Hu Ding, Jinhui Xu
A Reduction of the Elastic Net to Support Vector Machines with an Application to GPU Computing Quan Zhou, Wenlin Chen, Shiji Song, Jacob R. Gardner, Kilian Q. Weinberger, Yixin Chen
Nyström Approximation for Sparse Kernel Methods: Theoretical Analysis and Empirical Evaluation Zenglin Xu, Rong Jin, Bin Shen, Shenghuo Zhu
Gaussian Cardinality Restricted Boltzmann Machines Cheng Wan, Xiaoming Jin, Guiguang Ding, Dou Shen
Unsupervised Feature Learning through Divergent Discriminative Feature Accumulation Paul A. Szerlip, Gregory Morse, Justin K. Pugh, Kenneth O. Stanley
Adaptive Sampling with Optimal Cost for Class-Imbalance Learning Yuxin Peng
Non-Linear Regression for Bag-of-Words Data via Gaussian Process Latent Variable Set Model Yuya Yoshikawa, Tomoharu Iwata, Hiroshi Sawada
Initializing Bayesian Hyperparameter Optimization via Meta-Learning Matthias Feurer, Jost Tobias Springenberg, Frank Hutter
Parallel Gaussian Process Regression for Big Data: Low-Rank Representation Meets Markov Approximation Kian Hsiang Low, Jiangbo Yu, Jie Chen, Patrick Jaillet
Zhe Lim, Benjamin I. P. Rubinstein
OMNI-Prop: Seamless Node Classification on Arbitrary Label Correlation Yuto Yamaguchi, Christos Faloutsos, Hiroyuki Kitagawa
Retweet Behavior Prediction Using Hierarchical Dirichlet Process Qi Zhang, Yeyun Gong, Ya Guo, Xuanjing Huang
RAIN: Social Role-Aware Information Diffusion Yang Yang, Jie Tang, Cane Wing-ki Leung, Yizhou Sun, Qicong Chen, Juanzi Li, Qiang Yang
Poster Ads Using Matched Samples to Estimate the Effects of Exercise on Mental Health from Twitter Virgile Landeiro Dos Reis, Aron Culotta
VELDA: Relating an Image Tweet’s Text and Images Tao Chen, Hany M. SalahEldeen, Xiangnan He, Min-Yen Kan, Dongyuan Lu
Inferring Same-as Facts from Linked Data: An Iterative Import-by-Query Approach Mustafa Al-Bakri, Manuel Atencia, Steffen Lalande, Marie-Christine Rousset
Prajna: Towards Recognizing Whatever You Want from Images without Image Labeling Xian-Sheng Hua, Jin Li
Exploring Social Context for Topic Identification in Short and Noisy Texts Xin Wang, Ying Wang, Wanli Zuo, Guoyong Cai
Visually Interpreting Names as Demographic Attributes by Exploiting Click-Through Data Yan-Ying Chen, Yin-Hsi Kuo, Chun-Che Wu, Winston H. Hsu
Incorporating Implicit Link Preference into Overlapping Community Detection Hongyi Zhang, Irwin King, Michael R. Lyu
TEXAS V–VI AI and the Web 7 Talks A Tri-Role Topic Model for Domain-Specific Question Answering Zongyang Ma, Aixin Sun, Quan Yuan, Gao Cong
Efficient Top-k Shortest-Path Distance Queries on Large Networks by Pruned Landmark Labeling Takuya Akiba, Takanori Hayashi, Nozomi Nori, Yoichi Iwata, Yuichi Yoshida
A Probabilistic Model for Bursty Topic Discovery in Microblogs Xiaohui Yan, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng
A Stochastic Model for Detecting Heterogeneous Link Communities in Complex Networks Dongxiao He, Dayou Liu, Di Jin, Weixiong Zhang
A Hybrid Approach of Classifier and Clustering for Solving the Missing Node Problem Sigal Sina, Avi Rosenfeld, Sarit Kraus, Navot Akiva
HILL COUNTRY AB Vision 2 Talks Easily Accessible Paper: Deep Representation Learning with Target Coding Shuo Yang, Ping Luo, Chen Change Loy, Kenneth W. Shum, Xiaoou Tang
TEXAS II–III AI and the Web 5
Learning Face Hallucination in the Wild
Talks Sub-Merge: Diving Down to the AttributeValue Level in Statistical Schema Matching
Building Effective Representations for Sketch Recognition
Erjin Zhou, Haoqiang Fan, Zhimin Cao, Yuning Jiang, Qi Yin
Jun Guo, Changhu Wang, Hongyang Chao
26 SCHEDULE: THURSDAY AFTERNOON
Poster Ads A Local Sparse Model for Matching Problem Bo Jiang, Jin Tang, Chris Ding, Bin Luo
Learning Predictable and Discriminative Attributes for Visual Recognition Yuchen Guo, Guiguang Ding, Xiaoming Jin, Jianmin Wang
Complex Event Detection via Event Oriented Dictionary Learning Yan Yan, Yi Yang, Haoquan Shen, Deyu Meng, Gaowen Liu, Alexander Hauptmann, Nicu Sebe
Cross-Modal Image Clustering via Canonical Correlation Analysis Cheng Jin, Wenhui Mao, Ruiqi Zhang, Yuejie Zhang, Xiangyang Xue
Jointly Modeling Deep Video and Compositional Text to Bridge Vision and Language in a Unified Framework Ran Xu, Caiming Xiong, Wei Chen, Jason J. Corso
On Vectorization of Deep Convolutional Neural Networks for Vision Tasks Jimmy SJ. Ren, Li Xu
Multi-Tensor Completion with Common Structures Chao Li, Qibin Zhao, Junhua Li, Andrzej Cichocki, Lili Guo
Temporally Adaptive Restricted Boltzmann Machine for Background Modeling Linli Xu, Yitan Li, Yubo Wang, Enhong Chen
Compute Less to Get More: Using ORC to Improve Sparse Filtering Johannes Lederer, Sergio Guadarrama
Swiss-System Based Cascade Ranking for Gait-Based Person Re-identification Lan Wei, Yonghong Tian, Yaowei Wang, Tiejun Huang
Online Detection of Abnormal Events Using Incremental Coding Length Jayanta K. Dutta, Bonny Banerjee
Exploring Semantic Inter-Class Relationships (SIR) for Zero-Shot Action Recognition Chuang Gan, Ming Lin, Yi Yang, Yueting Zhuang, Alexander G. Hauptmann
BIG BEND Game Theory and Economic Paradigms 4 Talks A Mechanism Design Approach to Measure Awareness Diodato Ferraioli, Carmine Ventre, Gabor Aranyi
Easily Accessible Paper: Strategy-Proof and Efficient Kidney Exchange Using a Credit Mechanism Chen Hajaj, John P. Dickerson, Avinatan Hassidim, Tuomas Sandholm, David Sarne
Assessing the Robustness of Cremer-McLean with Automated Mechanism Design Michael Albert, Vincent Conitzer, Giuseppe Lopomo
A Unifying Hierarchy of Valuations with Complements and Substitutes Uriel Feige, Michal Feldman, Nicole Immorlica, Rani Izsak, Brendan Lucier, Vasilis Syrgkanis
A Faster Core Constraint Generation Algorithm for Combinatorial Auctions Benedikt Bünz, Sven Seuken, Benjamin Lubin
TEXAS VII Robotics: Science and Systems 2014 (RSS) Presentations 2 Asking for Help Using Inverse Semantics Stefanie Tellex, Ross Knepper, Adrian Li, Daniela Rus, Nicholas Roy
Learning Articulated Motions from Visual Demonstration Sudeep Pillai, Matthew Walter, Seth Teller
Tell Me Dave: Context-Sensitive Grounding
of Natural Language to Manipulation Instructions Dipendra Kumar Misra, Jaeyong Sung, Kevin Lee, Ashutosh Saxena
Learning to Locate from Demonstrated Searches Paul Vernaza, Anthony Stentz
Fully Decentralized Task Swaps with Optimized Local Searching Lantao Liu, Nathan Michael, Dylan Shell
HILL COUNTRY CD Natural Language Processing 4 Talks Local Context Sparse Coding Seungyeon Kim, Joonseok Lee, Guy Lebanon, Haesun Park
English Light Verb Construction Identification Using Lexical Knowledge Wei-Te Chen, Claire Bonial, Martha Palmer
Easily Accessible Paper: Learning Greedy Policies for the Easy-First Framework Jun Xie, Chao Ma, Janardhan Rao Doppa, Prashanth Mannem, Xiaoli Fern, Thomas G. Dietterich, Prasad Tadepalli
Weakly-Supervised Grammar-Informed Bayesian CCG Parser Learning Dan Garrette, Chris Dyer, Jason Baldridge, Noah A. Smith
Poster Ads Word Segmentation for Chinese Novels Likun Qiu, Yue Zhang
A Stratified Strategy for Efficient KernelBased Learning Simone Filice, Danilo Croce, Roberto Basili
Joint Anaphoricity Detection and Coreference Resolution with Constrained Latent Structures Emmanuel Lassalle, Pascal Denis
Fast and Accurate Prediction of Sentence Specificity Junyi Jessy Li, Ani Nenkova
Mining User Consumption Intention from Social Media Using Domain Adaptive Convolutional Neural Network Xiao Ding, Ting Liu, Junwen Duan, Jian-Yun Nie
ZILKER 4 IAAI 30th Anniversary Paper Process Diagnosis System (PDS) – A 30 Year History Edward D. Thompson, Ethan Frolich, James C. Bellows, Benjamin E. Bassford, Edward J. Skiko, Mark S. Fox
3:10 - 3:30 Coffee Break
Thursday, January 29 — 3:30 PM – 5:45 PM 3:30 - 4:45
TEXAS II–III AI and the Web 6
TEXAS I Machine Learning 9
Talks Estimating Temporal Dynamics of Human Emotions
Talks Bayesian Maximum Margin Principal Component Analysis Changying Du, Shandian Zhe, Fuzhen Zhuang, Yuan Qi, Qing He, Zhongzhi Shi
SP-SVM: Large Margin Classifier for Data on Multiple Manifolds Bin Shen, Bao-Di Liu, Qifan Wang, Yi Fang, Jan P. Allebach
Self-Paced Curriculum Learning Lu Jiang, Deyu Meng, Qian Zhao, Shiguang Shan, Alexander G. Hauptmann
Poster Ads Noise-Robust Semi-Supervised Learning by Large-Scale Sparse Coding Zhiwu Lu, Xin Gao, Liwei Wang, Ji-Rong Wen, Songfang Huang
AAAI-15 Outstanding Student Paper Honorable Mention: Sparse Bayesian Multiview Learning for Simultaneous Association Discovery and Diagnosis of Alzheimer’s Disease Shandian Zhe, Zenglin Xu, Yuan Qi, Peng Yu
Stable Feature Selection from Brain sMRI Bo Xin, Lingjing Hu, Yizhou Wang, Wen Gao
Seungyeon Kim, Joonseok Lee, Guy Lebanon, Haesun Park
Approximating Model-Based ABox Revision in DL-Lite: Theory and Practice Guilin Qi, Zhe Wang, Kewen Wang, Xuefeng Fu, Zhiqiang Zhuang
Trust Models for RDF Data: Semantics and Complexity Valeria Fionda, Gianluigi Greco
Answering Conjunctive Queries over EL Knowledge Bases with Transitive and Reflexive Roles Giorgio Stefanoni, Boris Motik
Poster Ads Handling owl:sameAs via Rewriting Boris Motik, Yavor Nenov, Robert Piro, Ian Horrocks
Extracting Bounded-Level Modules from Deductive RDF Triplestores Marie-Christine Rousset, Federico Ulliana
Mining User Intents in Twitter: A Semi-Supervised Approach to Inferring Intent Categories for Tweets
Clustering-Based Collaborative Filtering for Link Prediction
Jinpeng Wang, Gao Cong, Wayne Xin Zhao, Xiaoming Li
Xiangyu Wang, Dayu He, Danyang Chen, Jinhui Xu
CrowdWON: A Modelling Language for Crowd Processes Based on Workflow Nets
Eigenvalues Ratio for Kernel Selection of Kernel Methods Yong Liu, Shizhong Liao
Kickback Cuts Backprop's Red-Tape: Biologically Plausible Credit Assignment in Neural Networks David Balduzzi, Hastagiri Vanchinathan, Joachim Buhmann
Pareto Ensemble Pruning Chao Qian, Yang Yu, Zhi-Hua Zhou
Cross-Modal Similarity Learning via Pairs, Preferences, and Active Supervision Yi Zhen, Piyush Rai, Hongyuan Zha, Lawrence Carin
Optimizing Bag Features for Multiple-Instance Retrieval Zhouyu Fu, Feifei Pan, Cheng Deng, Wei Liu
Generalization Analysis for Game-Theoretic Machine Learning Haifang Li, Fei Tian, Wei Chen, Tao Qin, ZhiMing Ma, Tie-Yan Liu
Never-Ending Learning Tom Mitchell, William Cohen, Estevam Hruschka, Partha Talukdar, Justin Betteridge, Andrew Carlson, Bhavana Dalvi, Matt Gardner, Bryan Kisiel, Jayant Krishnamurthy, Ni Lao, Kathryn Mazaitis, Tahir Mohamed, Ndapa Nakashole, Emmanouil Antonios Platanios, Alan Ritter, Mehdi Samadi, Burr Settles, Richard Wang, Derry Wijaya, Abhinav Gupta, Xinlei Chen, Abulhair Saparov, Malcolm Greaves, Joel Welling
Localized Centering: Reducing Hubness in Large-Sample Data Kazuo Hara, Ikumi Suzuki, Masashi Shimbo, Kei Kobayashi, Kenji Fukumizu, Milos Radovanovic
Graph-Sparse LDA: A Topic Model with Structured Sparsity Finale Doshi-Velez, Byron C. Wallace, Ryan Adams
Pattern-Based Variant-Best-Neighbors Respiratory Motion Prediction Using Orthogonal Polynomials Approximation Kin Ming Kam, Shouyi Wang, Stephen R. Bowen, Wanpracha Chaovalitwongse
David Sánchez-Charles, Victor Muntés-Mulero, Marc Solé, Jordi Nin
Using Frame Semantics for Knowledge Extraction from Twitter Anders Søgaard, Barbara Plank, Hector Martinez Alonso
An Unsupervised Framework of Exploring Events on Twitter: Filtering, Extraction and Categorization Deyu Zhou, Liangyu Chen, Yulan He
Target-Dependent Churn Classification in Microblogs Hadi Amiri, Hal Daume III
TEXAS V–VI Integrated Systems Track 1 Talks Toward Mobile Robots Reasoning Like Humans Jean Oh, Arne Suppé, Felix Duvallet, Abdeslam Boularias, Luis Navarro-Serment, Martial Hebert, Anthony Stentz, Jerry Vinokurov, Oscar Romero, Christian Lebiere, Robert Dean
Learning to Manipulate Unknown Objects in Clutter by Reinforcement Abdeslam Boularias, J. Andrew Bagnell, Anthony Stentz
Robot Learning Manipulation Action Plans by “Watching” Unconstrained Videos from the World Wide Web Yezhou Yang, Yi Li, Cornelia Fermüller, Yiannis Aloimonos
Bayesian Active Learning-Based Robot Tutor for Children's Word-Reading Skills Goren Gordon, Cynthia Breazeal
Poster Ads Integration and Evaluation of a Matrix Factorization Sequencer in Large Commercial ITS Carlotta Schatten, Ruth Janning, Lars SchmidtThieme
Going Beyond Literal Command-Based Instructions: Extending Robotic Natural Language Interaction Capabilities
RANSAC versus CS-RANSAC Geun-Sik Jo, Kee-Sung Lee, Devy Chandra, Chol-Hee Jang, Myung-Hyun Ga
CORPP: Commonsense Reasoning and Probabilistic Planning, as Applied to Dialog with a Mobile Robot
Truthful Mechanisms without Money for Non-Utilitarian Heterogeneous Facility Location Paolo Serafino, Carmine Ventre
Incentive Networks Yuezhou Lv, Thomas Moscibroda
Shiqi Zhang, Peter Stone
Tackling Mental Health by Integrating Unobtrusive Multimodal Sensing Dawei Zhou, Jiebo Luo, Vincent Silenzio, Yun Zhou, Jile Hu, Glenn Currier, Henry Kautz
HILL COUNTRY AB Search and Constraint Satisfaction 1 Talks The Extendable-Triple Property: A New CSP Tractable Class beyond BTP Philippe Jégou, Cyril Terrioux
TEXAS VII Robotics Student Fellowship Talks 2 Socially Assistive Robotics for Long-Term Health Behavior Change Jillian Greczek
The Development of Socially Assistive Robots for Healthcare Applications to Improve Quality of Life Wing-Yue Geoffrey Louie
Intent Prediction in Human-Robot Interaction Matthew O. Derry
SAT Modulo Monotonic Theories Sam Bayless, Noah Bayless, Holger H. Hoos, Alan J. Hu
SAT-Based Strategy Extraction in Reachability Games Niklas Een, Alexander Legg, Nina Narodytska, Leonid Ryzhyk
On Computing Maximal Subsets of Clauses that Must Be Satisfiable with Possibly Mutually-Contradictory Assumptive Contexts Philippe Besnard, Éric Grégoire, Jean-Marie Lagniez
Poster Ads Efficient Extraction of QBF (Counter)models from Long-Distance Resolution Proofs Valeriy Balabanov, Jie-Hong R. Jiang, Mikolás Janota, Magdalena Widl
Exploiting Determinism to Scale Relational Inference Mohamed-Hamza Ibrahim, Christopher Pal, Gilles Pesant
Just Count the Satisfied Groundings: Scalable Local-Search and Sampling Based Inference in MLNs Deepak Venugopal, Somdeb Sarkhel, Vibhav Gogate
BIG BEND Game Theory & Economic Paradigms 5 Talks Analysis of Equilibria in Iterative Voting Schemes Zinovi Rabinovich, Svetlana Obraztsova, Omer Lev, Evangelos Markakis, Jeffrey S. Rosenschein
Strategic Voting and Strategic Candidacy
Learning and Grounding Haptic Affordances Using Demonstration and Human-Guided Exploration Vivian Chu
Apprenticeship Scheduling for HumanRobot Teams in Manufacturing Matthew Craig Gombolay
Following a Target Whose Behavior Is Predictable Florian Shkurti
Multi-Agent Rendezvous Malika Meghjani
HILL COUNTRY CD Game Playing and Interactive Entertainment 1 Talks Continuity Editing for 3D Animation Quentin Galvane, Rémi Ronfard, Christophe Lino, Marc Christie
Lifting Model Sampling for General Game Playing to Incomplete-Information Models Michael Schofield, Michael Thielscher
Automatic Generation of Alternative Starting Positions for Simple Traditional Board Games Umair Z. Ahmed, Krishnendu Chatterjee, Sumit Gulwani
Pruning Game Tree by Rollouts Bojun Huang
A Logic for Reasoning about Game Strategies Dongmo Zhang, Michael Thielscher
Markus Brill, Vincent Conitzer
Optimal Personalized Filtering against Spear-Phishing Attacks Aron Laszka, Yevgeniy Vorobeychik, Xenofon Koutsoukos
4:45 - 5:45 Long Break
Stable Invitations Hooyeon Lee, Yoav Shoham
Poster Ads Price Evolution in a Continuous Double Auction Prediction Market with a Scoring-Rule Based Market Maker Mithun Chakraborty, Sanmay Das, Justin Peabody
The Pricing War Continues: On Competitive Multi-Item Pricing Omer Lev, Joel Oren, Craig Boutilier, Jeffrey S. Rosenschein
The Complexity of Recognizing Incomplete Single-Crossing Elections Edith Elkind, Piotr Faliszewski, Martin Lackner, Svetlana Obraztsova
Mechanism Design for Team Formation Mason Wright, Yevgeniy Vorobeychik
Tom Williams, Gordon Briggs, Bradley Oosterveld, Matthias Scheutz
SCHEDULE: THURSDAY AFTERNOON 27
Thursday, January 29 — 5:45 PM – 8:15 PM 5:45 - 6:45 TEXAS BALLROOM AAAI-15 Debate on Autonomous Weapons Participants: Ron Arkin (Georgia Institute of Technology) and Stephen Goose (Executive Director, Arms Division, Human Rights Watch) Moderator: Thomas G. Dietterich, AAAI President (Oregon State University)
6:45 - 8:15 ZILKER BALLROOM AAAI-15 Poster /Demo Reception 3 The Poster / Demo Reception will include technical poster presentations of all papers presented today as Poster Ads, as well as the demos listed below. Student Abstract posters of talks presented during today’s lunch break will also be presented, and robotics exhibitions and game exhibits will be available.
Visualizing Inference
ZILKER BALLROOM AAAI-15 Technical Demos Gene Selection in Microarray Datasets Using Progressively Refined PSO Scheme Yamuna Prasad, K. K. Biswas
Multi-Agent Dynamic Coupling for Cooperative Vehicles Modeling
Henry Lieberman, Joseph Henke
Salient Object Detection via Objectness Proposals Tam V. Nguyen
Visualization Techniques for Topic Model Checking Jaimie Murdock, Colin Allen, Yuichi Yoshida
Maxime Guériau, Romain Billot, Nour-Eddin El Faouzi, Salima Hassas, Frédéric Armetta
Friday, January 30 — 9:00 AM – 12:30 PM 9:00 - 9:50
ZILKER BALLROOM 2 Heuristic Search and Optimization 2
ZILKER BALLROOM 1-2
Talks BDD-Constrained Search: A Unified Approach to Constrained Shortest Path Problems
AAAI-15 Invited Talk Using Statistics and Semantics to Solve Big (Graph) Data Problems Lise Getoor (University of California, Santa Cruz) Introduction by Luc De Raedt
ZILKER BALLROOM 3-4 AAAI-15 Invited Talk von Neumann's Dream Michael Bowling (University of Alberta) Introduction by Tuomas Sandholm
9:50 - 10:00 ZILKER BALLROOM 1-2 AAAI-15 Award Ceremony
10:00 - 10:20 Coffee Break
10:20 - 11:20 ZILKER BALLROOM 1 Robotics 1
Masaaki Nishino, Norihito Yasuda, Shin-ichi Minato, Masaaki Nagata
Complexity Results for Compressing Optimal Paths Adi Botea, Ben Strasser, Daniel Harabor
On Interruptible Pure Exploration in MultiArmed Bandits Alexander Shleyfman, Antonín Komenda, Carmel Domshlak
Proximal Operators for Multi-Agent Path Planning José Bento, Nate Derbinsky, Charles Mathy, Jonathan S. Yedidia
ZILKER BALLROOM 3 Search and Constraint Satisfaction 2 Talks Solving Distributed Constraint Optimization Problems Using Logic Programming Tiep Le, Tran Cao Son, Enrico Pontelli, William Yeoh
Distributed Multiplicative Weights Methods for DCOP Daisuke Hatano, Yuichi Yoshida
Talks Intent Prediction and Trajectory Forecasting via Predictive Inverse Linear-Quadratic Regulation
Strong Bounds Consistencies and Their Application to Linear Constraints
Mathew Monfort, Anqi Liu, Brian D. Ziebart
Binarisation via Dualisation for Valued Constraints
Model-Based Reinforcement Learning in Continuous Environments Using Real-Time Constrained Optimization Olov Andersson, Fredrik Heintz, Patrick Doherty
Approximately Optimal Risk-Averse Routing Policies via Adaptive Discretization Darrell Hoy, Evdokia Nikolova
Easily Accessible Paper: Reusing Previously Found A* Paths for Fast Goal-Directed Navigation in Dynamic Terrain Carlos Hernández, Roberto Asín, Jorge A. Baier
Christian Bessiere, Anastasia Paparrizou, Kostas Stergiou
David A. Cohen, Martin C. Cooper, Peter G. Jeavons, Stanislav Živný
ZILKER BALLROOM 4 Vision 3 Talks Metric Learning-Driven Multi-Task Structured Output Optimization for Robust Keypoint Tracking Liming Zhao, Xi Li, Jun Xiao, Fei Wu, Yueting Zhuang
Automatic Topic Discovery for Multi-Object Tracking Wenhan Luo, Björn Stenger, Xiaowei Zhao, Tae-Kyun Kim
28 SCHEDULE: THURSDAY EVENING AND FRIDAY MORNING
Online Dictionary Learning on Symmetric Positive Definite Manifolds with Vision Applications Shengping Zhang, Shiva Kasiviswanathan, Pong C. Yuen, Mehrtash Harandi
A Boosted Multi-Task Model for Pedestrian Detection with Occlusion Handling Chao Zhu, Yuxin Peng
11:20 - 11:30 Break (no refreshments)
11:30 - 12:30
ZILKER BALLROOM 3 Planning and Scheduling 4 Talks Tighter Value Function Bounds for Bayesian Reinforcement Learning Kanghoon Lee, Kee-Eung Kim
Reward Shaping for Model-Based Bayesian Reinforcement Learning Hyeoneun Kim, Woosang Lim, Kanghoon Lee, Yung-Kyun Noh, Kee-Eung Kim
Approximate Linear Programming for Constrained Partially Observable Markov Decision Processes Pascal Poupart, Aarti Malhotra, Pei Pei, KeeEung Kim, Bongseok Goh, Michael Bowling
ZILKER BALLROOM 1 Robotics 2
Scalable Planning and Learning for Multiagent POMDPs
Talks SCRAM: Scalable Collision-Avoiding Role Assignment with Minimal-Makespan for Formational Positioning
ZILKER BALLROOM 4 Senior Member Summary Talks 2
Patrick MacAlpine, Eric Price, Peter Stone
Learning to Mediate Perceptual Differences in Situated Human-Robot Dialogue Changsong Liu, Joyce Y. Chai
Spatio-Spectral Exploration Combining In Situ and Remote Measurements David R. Thompson, David Wettergreen, Greydon Foil, Michael Furlong, Anatha Ravi Kiran
An Entorhinal-Hippocampal Model for Simultaneous Cognitive Map Building Miaolong Yuan, Bo Tian, Vui Ann Shim, Huajin Tang, Haizhou Li
ZILKER BALLROOM 2 Heuristic Search and Optimization 3 Talks Massively Parallel A* Search on a GPU Yichao Zhou, Jianyang Zeng
On Unconstrained Quasi-Submodular Function Optimization Jincheng Mei, Kang Zhao, Bao-Liang Lu
A Theoretical Analysis of the Optimization by Gaussian Continuation Hossein Mobahi, John W. Fisher III
Incremental Weight Elicitation for Multiobjective State Space Search Nawal Benabbou, Patrice Perny
Christopher Amato, Frans A. Oliehoek
Compile! Pierre Marquis
Semantic Representation Lenhart Schubert
Achieving Intelligence Using Prototypes, Composition, and Analogy Vinay K. Chaudhri
AAAI-15 / IAAI-15 Program Addendum January 25 – 30, 2015 The following information was not available at the time of the program printing. Virtual Agents Demo Title: Social Simulation with Virtual Agents (Arnav Jhala) Monday, January 26, 9:00 AM – 5:30 PM (Open House) Tuesday January 27, 7:45 PM – 8:45 PM (Poster / Demo Session 1) Zilker Ballroom, First Level
NEW! AAAI/SIGAI Job Market Session Tuesday, January 27, 4:45 – 5:45 PM th Foothills I, 17 Floor As an extension of the AAAI / ACM SIGAI Job Market Electronic Bulletin Board, AAAI job seekers and job advertisers are invited to attend a meet and greet session during the long break just prior to the Shakey Celebration on Tuesday evening. Light refreshments will be available.
What’s Hot Talks 3: Room Correction Wednesday, January 28, 9:00 – 9:15 AM Texas Ballroom I: What's Hot in the Planning Competition (Stefan Edelkamp) Texas Ballroom II-III: What's Hot in Human Factors in Computing Systems (Wei Li)
IAAI-15 Invited Talk: Data Science for Social Good: Using Your Powers To Make a Social Impact! Rayid Ghani (University of Chicago) Wednesday, January 28, 1:40 – 2:30 PM nd Texas Ballroom, 2 Level The past few years have seen an increasing demand for machine learning/data mining/data science powers. That's wonderful for us data scientists but wouldn't the world be so much better if we also used our computational and analytical powers for social good? In this talk, I'll give examples from work going on around the world including from the summer fellowship program we started at University of Chicago on Data Science for Social Good to show that there are a lot of important social problems in the world that could use our help — from helping students graduate high school to helping disaster victims to improving health.
NEW! AAAI-15 Competition Panel: Competitions: Do They Help Advance AI Research? Thursday, January 29, 9:00 – 9:50 AM nd Texas Ballroom, 2 Level Panelists: Michael Bowling (University of Alberta), Koen Hindriks (TU Delft), Claude Sammut (UNSW Australia), and Sven Wachsmuth (Bielefeld University) Moderator: Michael Thielscher (University of New South Wales) Panelists will discuss how competitions can help to advance AI research.
Special Meetings Room Changes The following meetings will be held in Padre Island on the second floor of the Hyatt Regency Austin: AAAI Press Conference Tuesday, January 27, 11:00 AM – 12:00 PM AAAI Publications Committee Meeting Wednesday, January 28, 7:45 – 8:45 AM
![[PDF] Program - Association for the Advancement of Artificial Intelligence - Free Download PDF (2025)](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mP8/h8AAvMB+NzmkbcAAAAASUVORK5CYII=)