Artificial Intelligence and the Web
Read the Silence: Well-Timed Recommendation via Admixture Marked Point Processes | |
Hideaki Kim, Tomoharu Iwata, Yasuhiro Fujiwara, Naonori Ueda |
Treatment Effect Estimation with Data-Driven Variable Decomposition | |
Kun Kuang, Peng Cui, Bo Li, Meng Jiang, Shiqiang Yang, Fei Wang |
Correlated Cascades: Compete or Cooperate | |
Ali Zarezade, Ali Khodadadi, Mehrdad Farajtabar, Hamid R. Rabiee, Hongyuan Zha |
Expectile Matrix Factorization for Skewed Data Analysis | |
Rui Zhu, Di Niu, Linglong Kong, Zongpeng Li |
Game Theory and Economic Paradigms
Incentivising Monitoring in Open Normative Systems | |
Natasha Alechina, Joseph Y. Halpern, Ian A. Kash, Brian Logan |
Dynamic Thresholding and Pruning for Regret Minimization | |
Noam Brown, Christian Kroer, Tuomas Sandholm |
Optimizing Positional Scoring Rules for Rank Aggregation | |
Ioannis Caragiannis, Xenophon Chatzigeorgiou, George A. Krimpas, Alexandros A. Voudouris |
Approximation and Parameterized Complexity of Minimax Approval Voting | |
Marek Cygan, Łukasz Kowalik, Arkadiusz Socała, Krzysztof Sornat |
Small Representations of Big Kidney Exchange Graphs | |
John P. Dickerson, Aleksandr M. Kazachkov, Ariel D. Procaccia, Tuomas Sandholm |
Optimal Pricing for Submodular Valuations with Bounded Curvature | |
Takanori Maehara, Yasushi Kawase, Hanna Sumita, Katsuya Tono, Ken-ichi Kawarabayashi |
Proper Proxy Scoring Rules | |
Jens Witkowski, Pavel Atanasov, Lyle H. Ungar, Andreas Krause |
Heuristic Search and Optimization
A Generic Bet-and-Run Strategy for Speeding Up Stochastic Local Search | |
Tobias Friedrich, Timo Kötzing, Markus Wagner |
Systematic Exploration of Larger Local Search Neighborhoods for the Minimum Vertex Cover Problem | |
Maximilian Katzmann, Christian Komusiewicz |
Human-Aware Artificial Intelligence
Collaborative Planning with Encoding of Users' High-Level Strategies | |
Joseph Kim, Christopher J. Banks, Julie A. Shah |
Human Computation and Crowd Sourcing
Pairwise HITS: Quality Estimation from Pairwise Comparisons in Creator-Evaluator Crowdsourcing Process | |
Takeru Sunahase, Yukino Baba, Hisashi Kashima |
Humans and Artificial Intelligence
Psychologically Based Virtual-Suspect for Interrogative Interview Training | |
Moshe Bitan, Galit Nahari, Zvi Nisin, Ariel Roth, Sarit Kraus |
PIVE: Per-Iteration Visualization Environment for Real-Time Interactions with Dimension Reduction and Clustering | |
Hannah Kim, Jaegul Choo, Changhyun Lee, Hanseung Lee, Chandan K. Reddy, Haesun Park |
On Human Intellect and Machine Failures: Troubleshooting Integrative Machine Learning Systems | |
Besmira Nushi, Ece Kamar, Eric Horvitz, Donald Kossmann |
Knowledge Representation and Reasoning
Source Information Disclosure in Ontology-Based Data Integration | |
Michael Benedikt, Bernardo Cuenca Grau, Egor V. Kostylev |
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 |
Ontology Materialization by Abstraction Refinement in Horn SHOIF | |
Birte Glimm, Yevgeny Kazakov, Trung-Kien Tran |
Entropic Causal Inference | |
Murat Kocaoglu, Alexandros G. Dimakis, Sriram Vishwanath, Babak Hassibi |
SAT Encodings for Distance-Based Belief Merging Operators | |
Sébastien Konieczny, Jean-Marie Lagniez, Pierre Marquis |
Don't Forget the Quantifiable Relationship between Words: Using Recurrent Neural Network for Short Text Topic Discovery | |
Heng-Yang Lu, Lu-Yao Xie, Ning Kang, Chong-Jun Wang, Jun-Yuan Xie |
The Symbolic Interior Point Method | |
Martin Mladenov, Vaishak Belle, Kristian Kersting |
Small Is Beautiful: Computing Minimal Equivalent EL Concepts | |
Nadeschda Nikitina, Patrick Koopmann |
Trust-Sensitive Evolution of DL-Lite Knowledge Bases | |
Dmitriy Zheleznyakov, Evgeny Kharlamov, Ian Horrocks |
Machine Learning Applications
DeepFix: Fixing Common C Language Errors by Deep Learning | |
Rahul Gupta, Soham Pal, Aditya Kanade, Shirish Shevade |
Contextual RNN-GANs for Abstract Reasoning Diagram Generation | |
Viveka Kulharia, Arnab Ghosh, Amitabha Mukerjee, Vinay Namboodiri, Mohit Bansal |
A Framework for Minimal Clustering Modification via Constraint Programming | |
Chia-Tung Kuo, S. S. Ravi, Thi-Bich-Hanh Dao, Christel Vrain, Ian Davidson |
Predicting Demographics of High-Resolution Geographies with Geotagged Tweets | |
Omar Montasser, Daniel Kifer |
Learning Implicit Tasks for Patient-Specific Risk Modeling in ICU | |
Nozomi Nori, Hisashi Kashima, Kazuto Yamashita, Susumu Kunisawa, Yuichi Imanaka |
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 |
Robust Partially-Compressed Least-Squares | |
Stephen Becker, Ban Kawas, Marek Petrik |
PAC Identification of a Bandit Arm Relative to a Reward Quantile | |
Arghya Roy Chaudhuri, Shivaram Kalyanakrishnan |
Near-Optimal Active Learning of Halfspaces via Query Synthesis in the Noisy Setting | |
Lin Chen, Hamed Hassani, Amin Karbasi |
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 |
Efficient Sparse Low-Rank Tensor Completion Using the Frank-Wolfe Algorithm | |
Xiawei Guo, Quanming Yao, James Tin-Yau Kwok |
Scalable Algorithm for Higher-Order Co-Clustering via Random Sampling | |
Daisuke Hatano, Takuro Fukunaga, Takanori Maehara, Ken-ichi Kawarabayashi |
Twin Learning for Similarity and Clustering: A Unified Kernel Approach | |
Zhao Kang, Chong Peng, Qiang Cheng |
Tunable Sensitivity to Large Errors in Neural Network Training | |
Gil Keren, Sivan Sabato, Björn Schuller |
Binary Embedding with Additive Homogeneous Kernels | |
Saehoon Kim, Seungjin Choi |
Structured Inference Networks for Nonlinear State Space Models | |
Rahul G. Krishnan, Uri Shalit, David Sontag |
Estimating Uncertainty Online Against an Adversary | |
Volodymyr Kuleshov, Stefano Ermon |
Learning Non-Linear Dynamics of Decision Boundaries for Maintaining Classification Performance | |
Atsutoshi Kumagai, Tomoharu Iwata |
Identifying Unknown Unknowns in the Open World: Representations and Policies for Guided Exploration | |
Himabindu Lakkaraju, Ece Kamar, Rich Caruana, Eric Horvitz |
Transfer Learning for Deep Learning on Graph-Structured Data | |
Jaekoo Lee, Hyunjae Kim, Jongsun Lee, Sungroh Yoon |
Multivariate Hawkes Processes for Large-Scale Inference | |
Rémi Lemonnier, Kevin Scaman, Argyris Kalogeratos |
Sparse Subspace Clustering by Learning Approximation ℓ0 Codes | |
Jun Li, Yu Kong, Yun Fu |
Lifted Inference for Convex Quadratic Programs | |
Martin Mladenov, Leonard Kleinhans, Kristian Kersting |
Poisson Sum-Product Networks: A Deep Architecture for Tractable Multivariate Poisson Distributions | |
Alejandro Molina, Sriraam Natarajan, Kristian Kersting |
Spectral Clustering with Brainstorming Process for Multi-View Data | |
Jeong-Woo Son, Junkey Jeon, Alex Lee, Sun-Joong Kim |
Selecting Sequences of Items via Submodular Maximization | |
Sebastian Tschiatschek, Adish Singla, Andreas Krause |
Regularization for Unsupervised Deep Neural Nets | |
Baiyang Wang, Diego Klabjan |
Polynomial Optimization Methods for Matrix Factorization | |
Po-Wei Wang, Chun-Liang Li, J. Zico Kolter |
Improving Efficiency of SVM k-Fold Cross-Validation by Alpha Seeding | |
Zeyi Wen, Bin Li, Ramamohanarao Kotagiri, Jian Chen, Yawen Chen, Rui Zhang |
Learning Deep Latent Space for Multi-Label Classification | |
Chih-Kuan Yeh, Wei-Chieh Wu, Wei-Jen Ko, Yu-Chiang Frank Wang |
CBRAP: Contextual Bandits with RAndom Projection | |
Xiaotian Yu, Michael R. Lyu, Irwin King |
Parametric Dual Maximization for Non-Convex Learning Problems | |
Yuxun Zhou, Zhaoyi Kang, Costas J. Spanos |
Multiagent Systems
Kont: Computing Tradeoffs in Normative Multiagent Systems | |
Ozgur Kafali, Nirav Ajmeri, Munindar P. Singh |
Parameterised Verification of Infinite State Multi-Agent Systems via Predicate Abstraction | |
Panagiotis Kouvaros, Alessio Lomuscio |
Decentralized Planning in Stochastic Environments with Submodular Rewards | |
Rajiv Ranjan Kumar, Pradeep Varakantham, Akshat Kumar |
Collective Multiagent Sequential Decision Making Under Uncertainty | |
Duc Thien Nguyen, Akshat Kumar, Hoong Chuin Lau |
Natural Language Processing and Machine Learning
Open-Vocabulary Semantic Parsing with both Distributional Statistics and Formal Knowledge | |
Matt Gardner, Jayant Krishnamurthy |
Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation | |
Iulian Vlad Serban, Tim Klinger, Gerald Tesauro, Kartik Talamadupula, Bowen Zhou, Yoshua Bengio, Aaron Courville |
Natural Language Processing and Text Mining
Using Discourse Signals for Robust Instructor Intervention Prediction | |
Muthu Kumar Chandrasekaran, Carrie Demmans Epp, Min-Yen Kan, Diane J. Litman |
Improving Event Causality Recognition with Multiple Background Knowledge Sources Using Multi-Column Convolutional Neural Networks | |
Canasai Kruengkrai, Kentaro Torisawa, Chikara Hashimoto, Julien Kloetzer, Jong-Hoon Oh, Masahiro Tanaka |
Collaborative User Clustering for Short Text Streams | |
Shangsong Liang, Zhaochun Ren, Emine Yilmaz, Evangelos Kanoulas |
Planning and Scheduling
An Analysis of Monte Carlo Tree Search | |
Steven James, George Konidaris, Benjamin Rosman |
Multi-Agent Path Finding with Delay Probabilities | |
Hang Ma, T. K. Satish Kumar, Sven Koenig |
Narrowing the Gap Between Saturated and Optimal Cost Partitioning for Classical Planning | |
Jendrik Seipp, Thomas Keller, Malte Helmert |
Reasoning under Uncertainty
The Kernel Kalman Rule — Efficient Nonparametric Inference with Recursive Least Squares | |
Gregor H. W. Gebhardt, Andras Kupcsik, Gerhard Neumann |
Reasoning about Cognitive Trust in Stochastic Multiagent Systems | |
Xiaowei Huang, Marta Zofia Kwiatkowska |
Hindsight Optimization for Hybrid State and Action MDPs | |
Aswin Raghavan, Scott Sanner, Roni Khardon, Prasad Tadepalli, Alan Fern |
Robotics
Dynamically Constructed (PO)MDPs for Adaptive Robot Planning | |
Shiqi Zhang, Piyush Khandelwal, Peter Stone |
Search and Constraint Satisfaction
Phase Transitions for Scale-Free SAT Formulas | |
Tobias Friedrich, Anton Krohmer, Ralf Rothenberger, Andrew M. Sutton |
Vision
Detection and Recognition of Text Embedded in Online Images via Neural Context Models | |
Chulmoo Kang, Gunhee Kim, Suk I. Yoo |
Weakly Supervised Semantic Segmentation Using Superpixel Pooling Network | |
Suha Kwak, Seunghoon Hong, Bohyung Han |
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
Goal Operations for Cognitive Systems | |
Michael T. Cox, Dustin Dannenhauer, Sravya Kondrakunta |
Scanpath Complexity: Modeling Reading Effort Using Gaze Information | |
Abhijit Mishra, Diptesh Kanojia, Seema Nagar, Kuntal Dey, Pushpak Bhattacharyya |
Special Track on Computational Sustainability
Fine-Grained Car Detection for Visual Census Estimation | |
Timnit Gebru, Jonathan Krause, Yilun Wang, Duyun Chen, Jia Deng, Li Fei-Fei |
Combining Satellite Imagery and Open Data to Map Road Safety | |
Alameen Najjar, Shun’ichi Kaneko, Yoshikazu Miyanaga |
Robust Optimization for Tree-Structured Stochastic Network Design | |
Xiaojian Wu, Akshat Kumar, Daniel Sheldon, Shlomo Zilberstein |
Special Track on Integrated Systems
Mixed Discrete-Continuous Planning with Convex Optimization | |
Enrique Fernandez-Gonzalez, Erez Karpas, Brian Williams |
Configuration Planning with Temporal Constraints | |
Uwe Köckemann, Lars Karlsson |
EAAI Model AI Assignments
Model AI Assignments 2017 | |
Todd W. Neller, Joshua Eckroth, Sravana Reddy, Joshua Ziegler, Jason Bindewald, Gilbert Peterson, Thomas Way, Paula Matuszek, Lillian Cassel, Mary-Angela Papalaskari, Carol Weiss, Ariel Anders, Sertac Karaman |
Senior Member Blue Sky
Moral Decision Making Frameworks for Artificial Intelligence | |
Vincent Conitzer, Walter Sinnott-Armstrong, Jana Schaich Borg, Yuan Deng, Max Kramer |
Student Abstracts
Kernelized Evolutionary Distance Metric Learning for Semi-Supervised Clustering | |
Wasin Kalintha, Satoshi Ono, Masayuki Numao, Ken-ichi Fukui |
Redesigning Stochastic Environments for Maximized Utility | |
Sarah Keren, Avigdor Gal, Erez Karpas, Luis Pineda, Shlomo Zilberstein |
Robust and Efficient Transfer Learning with Hidden Parameter Markov Decision Processes | |
Taylor W. Killian, George Konidaris, Finale Doshi-Velez |
Wikitop: Using Wikipedia Category Network to Generate Topic Trees | |
Saravana Kumar, Prasath Rengarajan, Arockia Xavier Annie |
Community-Based Question Answering via Contextual Ranking Metric Network Learning | |
Hanqing Lu, Ming Kong |
Semantic Interpretation of Social Network Communities | |
Tushar Maheshwari, Aishwarya N. Reganti, Upendra Kumar, Tanmoy Chakraborty, Amitava Das |
Plan Recognition Design | |
Reuth Mirsky, Roni Stern, Ya'akov (Kobi) Gal, Meir Kalech |
A Sampling Based Approach for Proactive Project Scheduling with Time-Dependent Duration Uncertainty | |
Wen Song, Donghun Kang, Jie Zhang, Hui Xi |
Predicting User Roles from Computer Logs Using Recurrent Neural Networks | |
Aaron Tuor, Samuel Kaplan, Brian Hutchinson, Nicole Nichols, Sean Robinson |
Demonstrations
Efficient Clinical Concept Extraction in Electronic Medical Records | |
Yufan Guo, Deepika Kakrania, Tyler Baldwin, Tanveer Syeda-Mahmood |
Visual Memory QA: Your Personal Photo and Video Search Agent | |
Lu Jiang, LiangLiang Cao, Yannis Kalantidis, Sachin Farfade, Alex Hauptmann |
Sarcasm Suite: A Browser-Based Engine for Sarcasm Detection and Generation | |
Aditya Joshi, Diptesh Kanojia, Pushpak Bhattacharyya, Mark Carman |
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