Game Theory and Economic Paradigms
| Envy-Free Mechanisms with Minimum Number of Cuts | |
| Reza Alijani, Majid Farhadi, Mohammad Ghodsi, Masoud Seddighin, Ahmad S. Tajik |
| Team-Maxmin Equilibrium: Efficiency Bounds and Algorithms | |
| Nicola Basilico, Andrea Celli, Giuseppe De Nittis, Nicola Gatti |
| Extensive-Form Perfect Equilibrium Computation in Two-Player Games | |
| Gabriele Farina, Nicola Gatti |
| Security Games on a Plane | |
| Jiarui Gan, Bo An, Yevgeniy Vorobeychik, Brian Gauch |
| Engineering Agreement: The Naming Game with Asymmetric and Heterogeneous Agents | |
| Jie Gao, Bo Li, Grant Schoenebeck, Fang-Yi Yu |
| Vote Until Two of You Agree: Mechanisms with Small Distortion and Sample Complexity | |
| Stephen Gross, Elliot Anshelevich, Lirong Xia |
Heuristic Search and Optimization
| Automatic Logic-Based Benders Decomposition with MiniZinc | |
| Toby O. Davies, Graeme Gange, Peter J. Stuckey |
| Going Beyond Primal Treewidth for (M)ILP | |
| Robert Ganian, Sebastian Ordyniak, M. S. Ramanujan |
| Automated Data Extraction Using Predictive Program Synthesis | |
| Mohammad Raza, Sumit Gulwani |
Human-Aware Artificial Intelligence
| Predicting Latent Narrative Mood Using Audio and Physiologic Data | |
| Tuka Waddah AlHanai, Mohammad Mahdi Ghassemi |
Knowledge Representation and Reasoning
| Ontology-Based Data Access with a Horn Fragment of Metric Temporal Logic | |
| Sebastian Brandt, Elem Güzel Kalaycı, Roman Kontchakov, Vladislav Ryzhikov, Guohui Xiao, Michael Zakharyaschev |
| Add Data into Business Process Verification: Bridging the Gap between Theory and Practice | |
| Riccardo De Masellis, Chiara Di Francescomarino, Chiara Ghidini, Marco Montali, Sergio Tessaris |
| Ontology Materialization by Abstraction Refinement in Horn SHOIF | |
| Birte Glimm, Yevgeny Kazakov, Trung-Kien Tran |
| Number Restrictions on Transitive Roles in Description Logics with Nominals | |
| Víctor Gutiérrez-Basulto, Yazmín Ibáñez-García, Jean Christoph Jung |
| Diagnosability Planning for Controllable Discrete Event Systems | |
| Hassan Ibrahim, Philippe Dague, Alban Grastien, Lina Ye, Laurent Simon |
| Causal Discovery Using Regression-Based Conditional Independence Tests | |
| Hao Zhang, Shuigeng Zhou, Kun Zhang, Jihong Guan |
Machine Learning Applications
| Collaborative Dynamic Sparse Topic Regression with User Profile Evolution for Item Recommendation | |
| Li Gao, Jia Wu, Chuan Zhou, Yue Hu |
| Event Video Mashup: From Hundreds of Videos to Minutes of Skeleton | |
| Lianli Gao, Peng Wang, Jingkuan Song, Zi Huang, Jie Shao, Heng Tao Shen |
| Soft Video Parsing by Label Distribution Learning | |
| Xin Geng, Miaogen Ling |
| Active Learning with Cross-Class Similarity Transfer | |
| Yuchen Guo, Guiguang Ding, Yue Gao, Jungong Han |
| DeepFix: Fixing Common C Language Errors by Deep Learning | |
| Rahul Gupta, Soham Pal, Aditya Kanade, Shirish Shevade |
| Question Difficulty Prediction for READING Problems in Standard Tests | |
| Zhenya Huang, Qi Liu, Enhong Chen, Hongke Zhao, Mingyong Gao, Si Wei, Yu Su, Guoping Hu |
| Contextual RNN-GANs for Abstract Reasoning Diagram Generation | |
| Viveka Kulharia, Arnab Ghosh, Amitabha Mukerjee, Vinay Namboodiri, Mohit Bansal |
| Data-Driven Approximations to NP-Hard Problems | |
| Anton Milan, S. Hamid Rezatofighi, Ravi Garg, Anthony Dick, Ian Reid |
| FeaBoost: Joint Feature and Label Refinement for Semantic Segmentation | |
| Yulei Niu, Zhiwu Lu, Songfang Huang, Xin Gao, Ji-Rong Wen |
| Beyond IID: Learning to Combine Non-IID Metrics for Vision Tasks | |
| Yinghuan Shi, Wenbin Li, Yang Gao, Longbing Cao, Dinggang Shen |
| A Deep Hierarchical Approach to Lifelong Learning in Minecraft | |
| Chen Tessler, Shahar Givony, Tom Zahavy, Daniel J. Mankowitz, Shie Mannor |
| Beyond Monte Carlo Tree Search: Playing Go with Deep Alternative Neural Network and Long-Term Evaluation | |
| Jinzhuo Wang, Wenmin Wang, Ronggang Wang, Wen Gao |
| Pairwise Relationship Guided Deep Hashing for Cross-Modal Retrieval | |
| Erkun Yang, Cheng Deng, Wei Liu, Xianglong Liu, Dacheng Tao, Xinbo Gao |
Machine Learning Methods
| Scalable Optimization of Multivariate Performance Measures in Multi-instance Multi-label Learning | |
| Apoorv Aggarwal, Sandip Ghoshal, Ankith M. S. Shetty, Suhit Sinha, Ganesh Ramakrishnan, Purushottam Kar, Prateek Jain |
| Heavy-Tailed Analogues of the Covariance Matrix for ICA | |
| Joseph Anderson, Navin Goyal, Anupama Nandi, Luis Rademacher |
| On Learning High Dimensional Structured Single Index Models | |
| Ravi Ganti, Nikhil Rao, Laura Balzano, Rebecca Willett, Robert Nowak |
| Local Centroids Structured Non-Negative Matrix Factorization | |
| Hongchang Gao, Feiping Nie, Heng Huang |
| Low-Rank Factorization of Determinantal Point Processes | |
| Mike Gartrell, Ulrich Paquet, Noam Koenigstein |
| Robust Loss Functions under Label Noise for Deep Neural Networks | |
| Aritra Ghosh, Himanshu Kumar, P. S. Sastry |
| Exploring Commonality and Individuality for Multi-Modal Curriculum Learning | |
| Chen Gong |
| MPGL: An Efficient Matching Pursuit Method for Generalized LASSO | |
| Dong Gong, Mingkui Tan, Yanning Zhang, Anton van den Hengel, Qinfeng Shi |
| Weighted Bandits or: How Bandits Learn Distorted Values That Are Not Expected | |
| Aditya Gopalan, Prashanth L. A., Michael Fu, Steve Marcus |
| Efficient Sparse Low-Rank Tensor Completion Using the Frank-Wolfe Algorithm | |
| Xiawei Guo, Quanming Yao, James Tin-Yau Kwok |
| Convex Co-Embedding for Matrix Completion with Predictive Side Information | |
| Yuhong Guo |
| Continuous Conditional Dependency Network for Structured Regression | |
| Chao Han, Mohamed Ghalwash, Zoran Obradovic |
| Semi-Supervised Adaptive Label Distribution Learning for Facial Age Estimation | |
| Peng Hou, Xin Geng, Zeng-Wei Huo, Jia-Qi Lv |
| Semi-Supervised Classifications via Elastic and Robust Embedding | |
| Yun Liu, Yiming Guo, Hua Wang, Feiping Nie, Heng Huang |
| Active Search for Sparse Signals with Region Sensing | |
| Yifei Ma, Roman Garnett, Jeff Schneider |
| Active Search in Intensionally Specified Structured Spaces | |
| Dino Oglic, Roman Garnett, Thomas Gaertner |
| Unimodal Thompson Sampling for Graph-Structured Arms | |
| Stefano Paladino, Francesco Trovò, Marcello Restelli, Nicola Gatti |
| Unsupervised Learning with Truncated Gaussian Graphical Models | |
| Qinliang Su, Xuejun Liao, Chunyuan Li, Zhe Gan, Lawrence Carin |
| Two-Dimensional PCA with F-Norm Minimization | |
| Qianqian Wang, Quanxue Gao |
| Fredholm Multiple Kernel Learning for Semi-Supervised Domain Adaptation | |
| Wei Wang, Hao Wang, Chen Zhang, Yang Gao |
| Rank Ordering Constraints Elimination with Application for Kernel Learning | |
| Ying Xie, Chris H. Q. Ding, Yihong Gong, Zongze Wu |
| An Exact Penalty Method for Binary Optimization Based on MPEC Formulation | |
| Ganzhao Yuan, Bernard Ghanem |
| Scalable Feature Selection via Distributed Diversity Maximization | |
| Sepehr Abbasi Zadeh, Mehrdad Ghadiri, Vahab Mirrokni, Morteza Zadimoghaddam |
| SCOPE: Scalable Composite Optimization for Learning on Spark | |
| Shen-Yi Zhao, Ru Xiang, Ying-Hao Shi, Peng Gao, Wu-Jun Li |
| Scalable Graph Embedding for Asymmetric Proximity | |
| Chang Zhou, Yuqiong Liu, Xiaofei Liu, Zhongyi Liu, Jun Gao |
Multiagent Systems
| Nurturing Group-Beneficial Information-Gathering Behaviors Through Above-Threshold Criteria Setting | |
| Igor Rochlin, David Sarne, Maytal Bremer, Ben Grynhaus |
Natural Language Processing and Machine Learning
| Incorporating Expert Knowledge into Keyphrase Extraction | |
| Sujatha Das Gollapalli, Xiao-li Li, Peng Yang |
| Open-Vocabulary Semantic Parsing with both Distributional Statistics and Formal Knowledge | |
| Matt Gardner, Jayant Krishnamurthy |
| Geometry of Compositionality | |
| Hongyu Gong, Suma Bhat, Pramod Viswanath |
Planning and Scheduling
| Optimizing Quantiles in Preference-Based Markov Decision Processes | |
| Hugo Gilbert, Paul Weng, Yan Xu |
| Best-First Width Search: Exploration and Exploitation in Classical Planning | |
| Nir Lipovetzky, Hector Geffner |
Reasoning under Uncertainty
| The Linearization of Belief Propagation on Pairwise Markov Random Fields | |
| Wolfgang Gatterbauer |
| The Kernel Kalman Rule — Efficient Nonparametric Inference with Recursive Least Squares | |
| Gregor H. W. Gebhardt, Andras Kupcsik, Gerhard Neumann |
| Misspecified Linear Bandits | |
| Avishek Ghosh, Sayak Ray Chowdhury, Aditya Gopalan |
Robotics
| Unsupervised Feature Learning for 3D Scene Reconstruction with Occupancy Maps | |
| Vitor Campanholo Guizilini, Fabio Tozeto Ramos |
Vision
| DECK: Discovering Event Composition Knowledge from Web Images for Zero-Shot Event Detection and Recounting in Videos | |
| Chuang Gan, Chen Sun, Ram Nevatia |
| Differentiating Between Posed and Spontaneous Expressions with Latent Regression Bayesian Network | |
| Quan Gan, Siqi Nie, Shangfei Wang, Qiang Ji |
| Active Video Summarization: Customized Summaries via On-line Interaction with the User | |
| Ana Garcia del Molino, Xavier Boix, Joo-Hwee Lim, Ah-Hwee Tan |
| Building an End-to-End Spatial-Temporal Convolutional Network for Video Super-Resolution | |
| Jun Guo, Hongyang Chao |
| Zero-Shot Recognition via Direct Classifier Learning with Transferred Samples and Pseudo Labels | |
| Yuchen Guo, Guiguang Ding, Jungong Han, Yue Gao |
| Video Recovery via Learning Variation and Consistency of Images | |
| Zhouyuan Huo, Shangqian Gao, Weidong Cai, Heng Huang |
| An Artificial Agent for Robust Image Registration | |
| Rui Liao, Shun Miao, Pierre de Tournemire, Sasa Grbic, Ali Kamen, Tommaso Mansi, Dorin Comaniciu |
Special Track on Cognitive Systems
| Towards Continuous Scientific Data Analysis and Hypothesis Evolution | |
| Yolanda Gil, Daniel Garijo, Varun Ratnakar, Rajiv Mayani, Ravali Adusumilli, Hunter Boyce, Arunima Srivastava, Parag Mallick |
| When Does Bounded-Optimal Metareasoning Favor Few Cognitive Systems? | |
| Smitha Milli, Falk Lieder, Thomas L. Griffiths |
| Identifying Useful Inference Paths in Large Commonsense Knowledge Bases by Retrograde Analysis | |
| Abhishek Sharma, Keith M. Goolsbey |
| Semantic Proto-Role Labeling | |
| Adam Teichert, Adam Poliak, Benjamin Van Durme, Matthew R. Gormley |
Special Track on Computational Sustainability
| Maximizing the Probability of Arriving on Time: A Practical Q-Learning Method | |
| Zhiguang Cao, Hongliang Guo, Jie Zhang, Frans Oliehoek, Ulrich Fastenrath |
| Fine-Grained Car Detection for Visual Census Estimation | |
| Timnit Gebru, Jonathan Krause, Yilun Wang, Duyun Chen, Jia Deng, Li Fei-Fei |
| Spatial Projection of Multiple Climate Variables Using Hierarchical Multitask Learning | |
| Andre R. Goncalves, Arindam Banerjee, Fernando J. Von Zuben |
| Dynamic Optimization of Landscape Connectivity Embedding Spatial-Capture-Recapture Information | |
| Yexiang Xue, Xiaojian Wu, Dana Morin, Bistra Dilkina, Angela Fuller, J. Andrew Royle, Carla P. Gomes |
Special Track on Integrated Systems
| Healthy Cognitive Aging: A Hybrid Random Vector Functional-Link Model for the Analysis of Alzheimer’s Disease | |
| Peng Dai, Femida Gwadry-Sridhar, Michael Bauer, Michael Borrie, Xue Teng |
| Vision-Language Fusion for Object Recognition | |
| Sz-Rung Shiang, Stephanie Rosenthal, Anatole Gershman, Jaime Carbonell, Jean Oh |
EAAI Symposium Full Papers
| A Summer Research Experience in Robotics | |
| Cindy M. Grimm, Alicia Lyman-Holt, William D. Smart |
| Recovering Concept Prerequisite Relations from University Course Dependencies | |
| Chen Liang, Jianbo Ye, Zhaohui Wu, Bart Pursel, C. Lee Giles |
Senior Member Blue Sky
| Why Teaching Ethics to AI Practitioners Is Important | |
| Judy Goldsmith, Emanuelle Burton |
Senior Member Summary Talks
| Multi-Robot Allocation of Tasks with Temporal and Ordering Constraints | |
| Maria Gini |
Student Abstracts
| Frame-Based Ontology Alignment | |
| Luigi Asprino, Valentina Presutti, Aldo Gangemi, Paolo Ciancarini |
| An Advising Framework for Multiagent Reinforcement Learning Systems | |
| Felipe Leno da Silva, Ruben Glatt, Anna Helena Reali Costa |
| Robust Stable Marriage | |
| Begum Genc, Mohamed Siala, Barry O'Sullivan, Gilles Simonin |
| Handwriting Profiling Using Generative Adversarial Networks | |
| Arna Ghosh, Biswarup Bhattacharya, Somnath Basu Roy Chowdhury |
| Policy Reuse in Deep Reinforcement Learning | |
| Ruben Glatt, Anna Helena Reali Costa |
| Redesigning Stochastic Environments for Maximized Utility | |
| Sarah Keren, Avigdor Gal, Erez Karpas, Luis Pineda, Shlomo Zilberstein |
| Neuron Learning Machine for Representation Learning | |
| Jia Liu, Maoguo Gong, Qiguang Miao |
| Plan Recognition Design | |
| Reuth Mirsky, Roni Stern, Ya'akov (Kobi) Gal, Meir Kalech |
Doctoral Consortium
| Improving Deep Reinforcement Learning with Knowledge Transfer | |
| Ruben Glatt, Anna Helena Reali Costa |
| Problems in Large-Scale Image Classification | |
| Yuchen Guo |
What's Hot
| What's Hot in Case-Based Reasoning | |
| Ashok Goel, Belen Diaz-Agudo |
Demonstrations
| Efficient Clinical Concept Extraction in Electronic Medical Records | |
| Yufan Guo, Deepika Kakrania, Tyler Baldwin, Tanveer Syeda-Mahmood |
| Integrating Verbal and Nonvebval Input into a Dynamic Response Spoken Dialogue System | |
| Ting-Yao Hu, Chirag Raman, Salvador Medina Maza, Liangke Gui, Tadas Baltrusaitis, Robert Frederking, Louis-Philippe Morency, Alan W. Black, Maxine Eskenazi |
| Natural Language Dialogue for Building and Learning Models and Structures | |
| Ian Perera, James F. Allen, Lucian Galescu, Choh Man Teng, Mark Burstein, Scott Friedman, David McDonald, Jeffrey Rye |