Presentations and Authors


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AI and the Web

On Information Coverage for Location Category Based Point-of-Interest Recommendation PDF
Xuefeng Chen, Yifeng Zeng, Gao Cong, Shengchao Qin, Yanping Xiang, Yuanshun Dai
High-Performance Distributed ML at Scale through Parameter Server Consistency Models PDF
Wei Dai, Abhimanu Kumar, Jinliang Wei, Qirong Ho, Garth Gibson, Eric P. Xing
An EBMC-Based Approach to Selecting Types for Entity Filtering PDF
Jiwei Ding, Wentao Ding, Wei Hu, Yuzhong Qu
Multi-Document Summarization Based on Two-Level Sparse Representation Model PDF
He Liu, Hongliang Yu, Zhi-Hong Deng
Effectively Predicting Whether and When a Topic Will Become Prevalent in a Social Network PDF
Weiwei Liu, Zhi-Hong Deng, Xiuwen Gong, Frank Jiang, Ivor W. Tsang
Content-Based Collaborative Filtering for News Topic Recommendation PDF
Zhongqi Lu, Zhicheng Dou, Jianxun Lian, Xing Xie, Qiang Yang
Relating Romanized Comments to News Articles by Inferring Multi-Glyphic Topical Correspondence PDF
Goutham Tholpadi, Mrinal Kanti Das, Trapit Bansal, Chiranjib Bhattacharyya

Applications

Personalized Tag Recommendation through Nonlinear Tensor Factorization Using Gaussian Kernel PDF
Xiaomin Fang, Rong Pan, Guoxiang Cao, Xiuqiang He, Wenyuan Dai

Computational Sustainability and AI

Best-Response Planning of Thermostatically Controlled Loads under Power Constraints PDF
Frits de Nijs, Matthijs T. J. Spaan, Mathijs M. de Weerdt
FutureMatch: Combining Human Value Judgments and Machine Learning to Match in Dynamic Environments PDF
John P. Dickerson, Tuomas Sandholm
Learning Large-Scale Dynamic Discrete Choice Models of Spatio-Temporal Preferences with Application to Migratory Pastoralism in East Africa PDF
Stefano Ermon, Yexiang Xue, Russell Toth, Bistra Dilkina, Richard Bernstein, Theodoros Damoulas, Patrick Clark, Steve DeGloria, Andrew Mude, Christopher Barrett, Carla P. Gomes

Game Theory and Economic Paradigms

Online Learning and Profit Maximization from Revealed Preferences PDF
Kareem Amin, Rachel Cummings, Lili Dworkin, Michael Kearns, Aaron Roth
Audit Games with Multiple Defender Resources PDF
Jeremiah Blocki, Nicolas Christin, Anupam Datta, Ariel D. Procaccia, Arunesh Sinha
Price Evolution in a Continuous Double Auction Prediction Market With a Scoring-Rule Based Market Maker PDF
Mithun Chakraborty, Sanmay Das, Justin Peabody
Conventional Machine Learning for Social Choice PDF
John A. Doucette, Kate Larson, Robin Cohen
Strategy-Proof and Efficient Kidney Exchange Using a Credit Mechanism PDF
Chen Hajaj, John P. Dickerson, Avinatan Hassidim, Tuomas Sandholm, David Sarne
Exploring Information Asymmetry in Two-Stage Security Games PDF
Haifeng Xu, Zinovi Rabinovich, Shaddin Dughmi, Milind Tambe

Heuristic Search and Optimization

Solving Hard Stable Matching Problems via Local Search and Cooperative Parallelization PDF
Danny Munera, Daniel Diaz, Salvador Abreu, Francesca Rossi, Vijay Saraswat, Philippe Codognet

Human-Computation and Crowd Sourcing

Novel Mechanisms for Online Crowdsourcing with Unreliable, Strategic Agents PDF
Praphul Chandra, Yadati Narahari, Debmalya Mandal, Prasenjit Dey

Integrated Systems

Toward Mobile Robots Reasoning Like Humans PDF
Jean H Oh, Arne Suppé, Felix Duvallet, Abdeslam Boularias, Luis Navarro-Serment, Martial Hebert, Anthony Stentz, Jerry Vinokurov, Oscar Romero, Christian Lebiere, Robert Dean

Knowledge Representation and Reasoning

LARS: A Logic-Based Framework for Analyzing Reasoning over Streams PDF
Harald Beck, Minh Dao-Tran, Thomas Eiter, Michael Fink
Grounded Fixpoints PDF
Bart Bogaerts, Joost Vennekens, Marc Denecker
asprin: Customizing Answer Set Preferences without a Headache PDF
Gerhard Brewka, James Delgrande, Javier Romero, Torsten Schaub
A Syntax-Independent Approach to Forgetting in Disjunctive Logic Programs PDF
James Delgrande, Kewen Wang
Towards Tractable and Practical ABox Abduction over Inconsistent Description Logic Ontologies PDF
Jianfeng Du, Kewen Wang, Yi-Dong Shen
On the Role of Canonicity in Knowledge Compilation PDF
Guy Van den Broeck, Adnan Darwiche

Machine Learning Applications

A Sparse Combined Regression-Classification Formulation for Learning a Physiological Alternative to Clinical Post-Traumatic Stress Disorder Scores PDF
Sarah Marie Brown, Andrea Webb, Rami Mangoubi, Jennifer Dy
Structured Sparsity with Group-Graph Regularization PDF
Xin-Yu Dai, Jian-Bing Zhang, Shu-Jian Huang, Jia-Jun Chen, Zhi-Hua Zhou
Propagating Ranking Functions on a Graph: Algorithms and Applications PDF
Buyue Qian, Xiang Wang, Ian Davidson
A Closed Form Solution to Multi-View Low-Rank Regression PDF
Shuai Zheng, Xiao Cai, Chris Ding, Feiping Nie, Heng Huang

Multiagent Systems

Verification of Relational Multiagent Systems with Data Types PDF
Diego Calvanese, Giorgio Delzanno, Marco Montali
Distributing Coalition Value Calculations to Coalition Members PDF
Luke Riley, Katie Atkinson, Paul E. Dunne, Terry R. Payne

NLP and Knowledge Representation

Ranking with Recursive Neural Networks and Its Application to Multi-Document Summarization PDF
Ziqiang Cao, Furu Wei, Li Dong, Sujian Li, Ming Zhou

NLP and Machine Learning

Topic Segmentation with an Ordering-Based Topic Model PDF
Lan Du, John K. Pate, Mark Johnson
Weakly-Supervised Grammar-Informed Bayesian CCG Parser Learning PDF
Dan Garrette, Chris Dyer, Jason Baldridge, Noah A. Smith
Joint Anaphoricity Detection and Coreference Resolution with Constrained Latent Structures PDF
Emmanuel Lassalle, Pascal Denis
Never-Ending Learning PDF
Tom M. Mitchell, William Cohen, Estevam Hruschka, Partha Talukdar, Justin Betteridge, Andrew Carlson, Bhavana Dalvi Mishra, Matthew Gardner, Bryan Kisiel, Jayant Krishnamurthy, Ni Lao, Kathryn Mazaitis, Thahir 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
Learning Greedy Policies for the Easy-First Framework PDF
Jun Xie, Chao Ma, Janardhan Rao Doppa, Prashanth Mannem, Xiaoli Fern, Thomas G. Dietterich, Prasad Tadepalli

NLP and Text Mining

Target-Dependent Churn Classification in Microblogs PDF
Hadi Amiri, Hal Daume III
Gazetteer-Independent Toponym Resolution Using Geographic Word Profiles PDF
Grant DeLozier, Jason Baldridge, Loretta London
Mining User Consumption Intention from Social Media Using Domain Adaptive Convolutional Neural Network PDF
Xiao Ding, Ting Liu, Junwen Duan, Jian-Yun Nie

Novel Machine Learning Algorithms

Model-Based Reinforcement Learning in Continuous Environments Using Real-Time Constrained Optimization PDF
Olov Andersson, Fredrik Heintz, Patrick Doherty
Aligning Mixed Manifolds PDF
Thomas Boucher, CJ Carey, Sridhar Mahadevan, Melinda Darby Dyar
Policy Tree: Adaptive Representation for Policy Gradient PDF
Ujjwal Das Gupta, Erik Talvitie, Michael Bowling
Collaborative Filtering with Localised Ranking PDF
Charanpal Dhanjal, Romaric Gaudel, Stéphan Clémençon
Random Gradient Descent Tree: A Combinatorial Approach for SVM with Outliers PDF
Hu Ding, Jinhui Xu
An Adaptive Gradient Method for Online AUC Maximization PDF
Yi Ding, Peilin Zhao, Steven C. H. Hoi, Yew-Soon Ong
Graph-Sparse LDA: A Topic Model with Structured Sparsity PDF
Finale Doshi-Velez, Byron C. Wallace, Ryan Adams
Bayesian Maximum Margin Principal Component Analysis PDF
Changying Du, Shandian Zhe, Fuzhen Zhuang, Yuan Qi, Qing He, Zhongzhi Shi
Modelling Class Noise with Symmetric and Asymmetric Distributions PDF
Jun Du, Zhihua Cai
Optimizing Bag Features for Multiple-Instance Retrieval PDF
Zhouyu Fu, Feifei Pan, Cheng Deng, Wei Liu
Spectral Clustering Using Multilinear SVD: Analysis, Approximations and Applications PDF
Debarghya Ghoshdastidar, Ambedkar Dukkipati
Expressing Arbitrary Reward Functions as Potential-Based Advice PDF
Anna Harutyunyan, Sam Devlin, Peter Vrancx, Ann Nowe
Absent Multiple Kernel Learning PDF
Xinwang Liu, Lei Wang, Jianping Yin, Yong Dou, Jian Zhang
UT Austin Villa 2014: RoboCup 3D Simulation League Champion via Overlapping Layered Learning PDF
Patrick MacAlpine, Mike Depinet, Peter Stone
The Boundary Forest Algorithm for Online Supervised and Unsupervised Learning PDF
Charles Mathy, Nate Derbinsky, Jose Bento, Jonathan Rosenthal, Jonathan Yedidia
Learning Relational Sum-Product Networks PDF
Aniruddh Nath, Pedro M. Domingos
TODTLER: Two-Order-Deep Transfer Learning PDF
Jan Van Haaren, Andrey Kolobov, Jesse Davis
Compress and Control PDF
Joel Veness, Marc G Bellemare, Marcus Hutter, Alvin Chua, Guillaume Desjardins
Gaussian Cardinality Restricted Boltzmann Machines PDF
Cheng Wan, Xiaoming Jin, Guiguang Ding, Dou Shen
Convex Batch Mode Active Sampling via α-Relative Pearson Divergence PDF
Hanmo Wang, Liang Du, Peng Zhou, Lei Shi, Yi-Dong Shen
Active Manifold Learning via Gershgorin Circle Guided Sample Selection PDF
Hongteng Xu, Hongyuan Zha, Ren-Cang Li, Mark A. Davenport

Planning and Scheduling

Real-Time Symbolic Dynamic Programming PDF
Luis Gustavo Rocha Vianna, Leliane N. de Barros, Scott Sanner

Reasoning under Uncertainty

Loss-Calibrated Monte Carlo Action Selection PDF
Ehsan Abbasnejad, Justin Domke, Scott Sanner
Value of Information Based on Decision Robustness PDF
Suming Jeremiah Chen, Arthur Choi, Adnan Darwiche
On Interruptible Pure Exploration in Multi-Armed Bandits PDF
Alexander Shleyfman, Antonín Komenda, Carmel Domshlak

Robotics

Proximal Operators for Multi-Agent Path Planning PDF
Jose Bento, Nate Derbinsky, Charles Mathy, Jonathan S. Yedidia

Vision

Online Detection of Abnormal Events Using Incremental Coding Length PDF
Jayanta Kumar Dutta, Bonny Banerjee
Learning Predictable and Discriminative Attributes for Visual Recognition PDF
Yuchen Guo, Guiguang Ding, Xiaoming Jin, Jianmin Wang
A Local Sparse Model for Matching Problem PDF
Bo Jiang, Jin Tang, Chris Ding, Bin Luo

Senior Member Papers

Speech Adaptation in Extended Ambient Intelligence Environments PDF
Bonnie J. Dorr, Lucian Galescu, Ian Perera, Kristy Hollingshead-Seitz, David Atkinson, Micah Clark, William Clancey, Yorick Wilks, Eric Fosler-Lussier
Towards a Programmer’s Apprentice (Again) PDF
Howard Elliot Shrobe, Boris Katz, Randall Davis
Explaining Watson: Polymath Style PDF
Wlodek W. Zadrozny, Valeria de Paiva, Lawrence S. Moss
Languages for Learning and Mining PDF
Luc De Raedt

Student Abstracts

Leveraging Common Structure to Improve Prediction across Related Datasets PDF
Matt Barnes, Nick Gisolfi, Madalina Fiterau, Artur Dubrawski
A Multi-Pass Sieve for Name Normalization PDF
Jennifer D'Souza
A Sequence Labeling Approach to Deriving Word Variants PDF
Jennifer D'Souza
Predicting the Quality of User Experiences to Improve Productivity and Wellness PDF
Priya Lekha Donti, Jacob Rosenbloom, Alex Gruver, James Jr C. Boerkoel
Modelling Individual Negative Emotion Spreading Process with Mobile Phones PDF
Zhanwei Du, Yongjian Yang, Chuang Ma, Yuan Bai
Active Learning for Informative Projection Retrieval PDF
Madalina Fiterau, Artur Dubrawski
Finding Meaningful Gaps to Guide Data Acquisition for a Radiation Adjudication System PDF
Nick Gisolfi, Madalina Fiterau, Artur Dubrawski
Self-Organized Collective Decision-Making in a 100-Robot Swarm PDF
Gabriele Valentini, Heiko Hamann, Marco Dorigo

Virtual Agent Demonstrations

SimSensei Demonstration: A Perceptive Virtual Human Interviewer for Healthcare Applications PDF
Louis-Philippe Morency, Giota Stratou, David DeVault, Arno Hartholt, Margo Lhommet, Gale Lucas, Fabrizio Morbini, Kallirroi Georgila, Stefan Scherer, Jonathan Gratch, Stacy Marsella, David Traum, Albert Rizzo
LOL — Laugh Out Loud PDF
Florian Pecune, Beatrice Biancardi, Yu Ding, Catherine Pelachaud, Maurizio Mancini, Giovanna Varni, Antonio Camurri, Gualtiero Volpe

What's Hot Abstracts

Knowledge Representation and Reasoning: What’s Hot PDF
Chitta Baral, Giuseppe De Giacomo


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