Presentations and Authors

Last name A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All

Main Track: Applications

Programming by Example Using Least General Generalizations PDF
Mohammad Raza, Sumit Gulwani, Natasa Milic-Frayling

Main Track: Computational Sustainability and AI

Efficient Buyer Groups for Prediction-of-Use Electricity Tariffs PDF
Valentin Robu, Meritxell Vinyals, Alex Rogers, Nicholas R. Jennings

Main Track: Game Playing and Interactive Entertainment

Solving the Inferential Frame Problem in the General Game Description Language PDF
Javier Romero Davila, Abdallah Saffidine, Michael Thielscher
Generating Content for Scenario-Based Serious-Games Using CrowdSourcing PDF
Sigal Sina, Avi Rosenfeld, Sarit Kraus
Automatic Game Design via Mechanic Generation PDF
Alexander Zook, Mark O. Riedl

Main Track: Game Theory and Economic Paradigms

Mechanism Design for Mobile Geo-Location Advertising PDF
Nicola Gatti, Marco Rocco, Sofia Ceppi, Enrico H. Gerding
Incentives for Truthful Information Elicitation of Continuous Signals PDF
Goran Radanovic, Boi Faltings

Main Track: Heuristic Search and Optimization

Simpler Bounded Suboptimal Search PDF
Matthew Hatem, Wheeler Ruml

Main Track: Humans and AI

A Strategy-Aware Technique for Learning Behaviors from Discrete Human Feedback PDF
Robert Tyler Loftin, James MacGlashan, Bei Peng, Matthew E. Taylor, Michael L. Littman, Jeff Huang, David L. Roberts
Dramatis: A Computational Model of Suspense PDF
Brian O'Neill, Mark Riedl
Sketch Recognition with Natural Correction and Editing PDF
Jie Wu, Changhu Wang, Liqing Zhang, Yong Rui

Main Track: Knowledge Representation and Reasoning

Exploiting Support Sets for Answer Set Programs with External Evaluations PDF
Thomas Eiter, Michael Fink, Christoph Redl, Daria Stepanova

Main Track: Machine Learning Applications

Learning Latent Engagement Patterns of Students in Online Courses PDF
Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daume III, Lise Getoor
Evaluating Trauma Patients: Addressing Missing Covariates with Joint Optimization PDF
Alex Van Esbroeck, Satinder Singh, Ilan Rubinfeld, Zeeshan Syed
Adaptive Knowledge Transfer for Multiple Instance Learning in Image Classification PDF
Qifan Wang, Lingyun Ruan, Luo Si

Main Track: Multiagent Systems

Theory of Cooperation in Complex Social Networks PDF
Bijan Ranjbar-Sahraei, Haitham Bou Ammar, Daan Bloembergen, Karl Tuyls, Gerhard Weiss

Main Track: NLP and Knowledge Representation

SenticNet 3: A Common and Common-Sense Knowledge Base for Cognition-Driven Sentiment Analysis PDF
Erik Cambria, Daniel Olsher, Dheeraj Rajagopal

Main Track: NLP and Machine Learning

Learning Word Representation Considering Proximity and Ambiguity PDF
Lin Qiu, Yong Cao, Zaiqing Nie, Yong Yu, Yong Rui
On Dataless Hierarchical Text Classification PDF
Yangqiu Song, Dan Roth

Main Track: Novel Machine Learning Algorithms

Non-Linear Label Ranking for Large-Scale Prediction of Long-Term User Interests PDF
Nemanja Djuric, Mihajlo Grbovic, Vladan Radosavljevic, Narayan Bhamidipati, Slobodan Vucetic
Learning Instance Concepts from Multiple-Instance Data with Bags as Distributions PDF
Gary Doran, Soumya Ray
Evolutionary Dynamics of Q-Learning over the Sequence Form PDF
Fabio Panozzo, Nicola Gatti, Marcello Restelli
Anytime Active Learning PDF
Maria Eugenia Ramirez-Loaiza, Aron Culotta, Mustafa Bilgic
On Boosting Sparse Parities PDF
Lev Reyzin
Online Multi-Task Learning via Sparse Dictionary Optimization PDF
Paul Ruvolo, Eric Eaton
Online Classification Using a Voted RDA Method PDF
Tianbing Xu, Jianfeng Gao, Lin Xiao, Amelia C. Regan

Main Track: Planning and Scheduling

Using Timed Game Automata to Synthesize Execution Strategies for Simple Temporal Networks with Uncertainty PDF
Alessandro Cimatti, Luke Hunsberger, Andrea Micheli, Marco Roveri
Parametrized Families of Hard Planning Problems from Phase Transitions PDF
Eleanor Rieffel, Davide Venturelli, Minh Do, Itay Hen, Jeremy Frank
Cost-Based Query Optimization via AI Planning PDF
Nathan Robinson, Sheila McIlraith, David Toman
Efficiently Implementing GOLOG with Answer Set Programming PDF
Malcolm Ryan

Main Track: Reasoning under Uncertainty

R2: An Efficient MCMC Sampler for Probabilistic Programs PDF
Aditya Nori, Chung-Kil Hur, Sriram Rajamani, Selva Samuel
Explanation-Based Approximate Weighted Model Counting for Probabilistic Logics PDF
Joris Renkens, Angelika Kimmig, Guy Van den Broeck, Luc De Raedt

Main Track: Search and Constraint Satisfaction

Avoiding Plagiarism in Markov Sequence Generation PDF
Alexandre Papadopoulos, Pierre Roy, François Pachet

Main Track: Vision

On Hair Recognition in the Wild by Machine PDF
Joseph Roth, Xiaoming Liu

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