Table of Contents

• The Do-Calculus RevisitedJudea Pearl. 3-11 [doi]
• PAC-Bayesian Inequalities for MartingalesYevgeny Seldin, François Laviolette, Nicolò Cesa-Bianchi, John Shawe-Taylor, Peter Auer. 12 [doi]
• Nested Markov Properties for Acyclic Directed Mixed GraphsThomas S. Richardson, James M. Robins, Ilya Shpitser. 13 [doi]
• Learning to Rank With Bregman Divergences and Monotone RetargetingSreangsu Acharyya, Oluwasanmi Koyejo, Joydeep Ghosh. 15-25 [doi]
• Markov Determinantal Point ProcessesRaja Hafiz Affandi, Alex Kulesza, Emily B. Fox. 26-35 [doi]
• Toward Large-Scale Agent Guidance in an Urban Taxi ServiceLucas Agussurja, Hoong Chuin Lau. 36-43 [doi]
• Uncertain Congestion Games with Assorted Human Agent PopulationsAsrar Ahmed, Pradeep Varakantham, Shih-Fen Cheng. 44-53 [doi]
• Budget Optimization for Sponsored Search: Censored Learning in MDPsKareem Amin, Michael Kearns, Peter Key, Anton Schwaighofer. 54-63 [doi]
• Variational Dual-Tree Framework for Large-Scale Transition Matrix ApproximationSaeed Amizadeh, Bo Thiesson, Milos Hauskrecht. 64-73 [doi]
• Exploiting Uniform Assignments in First-Order MPEUdi Apsel, Ronen I. Brafman. 74-83 [doi]
• Plackett-Luce regression: A new Bayesian model for polychotomous dataCédric Archambeau, Francois Caron. 84-92 [doi]
• Deterministic MDPs with Adversarial Rewards and Bandit FeedbackRaman Arora, Ofer Dekel, Ambuj Tewari. 93-101 [doi]
• Video In Sentences OutAndrei Barbu, Alexander Bridge, Zachary Burchill, Dan Coroian, Sven J. Dickinson, Sanja Fidler, Aaron Michaux, Sam Mussman, Siddharth Narayanaswamy, Dhaval Salvi, Lara Schmidt, Jiangnan Shangguan, Jeffrey Mark Siskind, Jarrell W. Waggoner, Song Wang, Jinlian Wei, Yifan Yin, Zhiqi Zhang. 102-112 [doi]
• Causal Inference by Surrogate Experiments: z-IdentifiabilityElias Bareinboim, Judea Pearl. 113-120 [doi]
• An Efficient Message-Passing Algorithm for the M-Best MAP ProblemDhruv Batra. 121-130 [doi]
• Lifted Relax, Compensate and then Recover: From Approximate to Exact Lifted Probabilistic InferenceGuy Van den Broeck, Arthur Choi, Adnan Darwiche. 131-141 [doi]
• Leveraging Side Observations in Stochastic BanditsStéphane Caron, Branislav Kveton, Marc Lelarge, Smriti Bhagat. 142-151 [doi]
• Interdependent Defense Games: Modeling Interdependent Security under Deliberate AttacksHau Chan, Michael Ceyko, Luis E. Ortiz. 152-162 [doi]
• Decentralized Data Fusion and Active Sensing with Mobile Sensors for Modeling and Predicting Spatiotemporal Traffic PhenomenaJie Chen, Kian Hsiang Low, Colin Keng-Yan Tan, Ali Oran, Patrick Jaillet, John M. Dolan, Gaurav Sukhatme. 163-173 [doi]
• Bayesian Structure Learning for Markov Random Fields with a Spike and Slab PriorYutian Chen, Max Welling. 174-184 [doi]
• Designing Informative SecuritiesYiling Chen, Mike Ruberry, Jennifer Wortman Vaughan. 185-195 [doi]
• Lifted Relational Variational InferenceJaesik Choi, Eyal Amir. 196-206 [doi]
• A Bayesian Approach to Constraint Based Causal InferenceTom Claassen, Tom Heskes. 207-216 [doi]
• Scaling Up Decentralized MDPs Through Heuristic SearchJilles Steeve Dibangoye, Christopher Amato, Arnaud Doniec. 217-226 [doi]
• Graph-Coupled HMMs for Modeling the Spread of InfectionWen Dong, Alex Pentland, Katherine A. Heller. 227-236 [doi]
• DBN-Based Combinatorial Resampling for Articulated Object TrackingSéverine Dubuisson, Christophe Gonzales, Xuan Son N'Guyen. 237-246 [doi]
• Sample-efficient Nonstationary Policy Evaluation for Contextual BanditsMiroslav Dudík, Dumitru Erhan, John Langford, Lihong Li. 247-254 [doi]
• Uniform Solution Sampling Using a Constraint Solver As an OracleStefano Ermon, Carla P. Gomes, Bart Selman. 255-264 [doi]
• Spectral Estimation of Conditional Random Graph Models for Large-Scale Network DataAntonino Freno, Mikaela Keller, Gemma C. Garriga, Marc Tommasi. 265-274 [doi]
• Mechanism Design for Cost Optimal PAC Learning in the Presence of Strategic Noisy AnnotatorsDinesh Garg, Sourangshu Bhattacharya, S. Sundararajan, Shirish Krishnaj Shevade. 275-285 [doi]
• Combining local search techniques and path following for bimatrix gamesNicola Gatti, Giorgio Patrini, Marco Rocco, Tuomas Sandholm. 286-295 [doi]
• Generalized Belief Propagation on Tree Robust Structured Region GraphsAndrew Gelfand, Max Welling. 296-305 [doi]
• Exploiting compositionality to explore a large space of model structuresRoger Grosse, Ruslan Salakhutdinov, William T. Freeman, Joshua B. Tenenbaum. 306-315 [doi]
• A Slice Sampler for Restricted Hierarchical Beta Process with Applications to Shared Subspace LearningSunil Kumar Gupta, Dinh Q. Phung, Svetha Venkatesh. 316-325 [doi]
• Semantic Understanding of Professional Soccer CommentariesHannaneh Hajishirzi, Mohammad Rastegari, Ali Farhadi, Jessica K. Hodgins. 326-335 [doi]
• Weighted Sets of Probabilities and MinimaxWeighted Expected Regret: New Approaches for Representing Uncertainty and Making DecisionsJoseph Y. Halpern, Samantha Leung. 336-345 [doi]
• Selecting Computations: Theory and ApplicationsNicholas Hay, Stuart Russell, David Tolpin, Solomon Eyal Shimony. 346-355 [doi]
• Tightening Fractional Covering Upper Bounds on the Partition Function for High-Order Region GraphsTamir Hazan, Jian Peng 0001, Amnon Shashua. 356-366 [doi]
• Inferring Strategies from Limited Reconnaissance in Real-time Strategy GamesJesse Hostetler, Ethan W. Dereszynski, Thomas G. Dietterich, Alan Fern. 367-376 [doi]
• Optimally-Weighted Herding is Bayesian QuadratureFerenc Huszar, David K. Duvenaud. 377-386 [doi]
• Causal Discovery of Linear Cyclic Models from Multiple Experimental Data Sets with Overlapping VariablesAntti Hyttinen, Frederick Eberhardt, Patrik O. Hoyer. 387-396 [doi]
• Join-graph based cost-shifting schemesAlexander T. Ihler, Natalia Flerova, Rina Dechter, Lars Otten. 397-406 [doi]
• Algorithms for Approximate Minimization of the Difference Between Submodular Functions, with ApplicationsRishabh Iyer, Jeff Bilmes. 407-417 [doi]
• Incentive Decision ProcessesSashank Jakkam Reddi, Emma Brunskill. 418-427 [doi]
• Active Imitation Learning via Reduction to I.I.D. Active LearningKshitij Judah, Alan Fern, Thomas G. Dietterich. 428-437 [doi]
• A Theory of Goal-Oriented MDPs with Dead EndsAndrey Kolobov, Mausam, Daniel S. Weld. 438-447 [doi]
• Dynamic Stochastic Orienteering Problems for Risk-Aware ApplicationsHoong Chuin Lau, William Yeoh, Pradeep Varakantham, Duc Thien Nguyen, HuaXing Chen. 448-458 [doi]
• Computing Optimal Security Strategies for Interdependent AssetsJoshua Letchford, Yevgeniy Vorobeychik. 459-468 [doi]
• Nested Dictionary Learning for Hierarchical Organization of Imagery and TextLingbo Li, XianXing Zhang, Mingyuan Zhou, Lawrence Carin. 469-478 [doi]
• Learning Mixtures of Submodular Shells with Application to Document SummarizationHui Lin, Jeff Bilmes. 479-490 [doi]
• Crowdsourcing Control: Moving Beyond Multiple ChoiceChristopher H. Lin, Mausam, Daniel S. Weld. 491-500 [doi]
• Response Aware Model-Based Collaborative FilteringGuang Ling, Haiqin Yang, Michael R. Lyu, Irwin King. 501-510 [doi]
• Graphical-model Based Multiple Testing under Dependence, with Applications to Genome-wide Association StudiesJie Liu, Chunming Zhang, Catherine A. McCarty, Peggy L. Peissig, Elizabeth S. Burnside, David Page. 511-522 [doi]
• Belief Propagation for Structured Decision MakingQiang Liu, Alexander T. Ihler. 523-532 [doi]
• Closed-Form Learning of Markov Networks from Dependency NetworksDaniel Lowd. 533-542 [doi]
• Bayesian Vote Manipulation: Optimal Strategies and Impact on WelfareTyler Lu, Pingzhong Tang, Ariel D. Procaccia, Craig Boutilier. 543-553 [doi]
• Heuristic Ranking in Tightly Coupled Probabilistic Description LogicsThomas Lukasiewicz, Maria Vanina Martinez, Giorgio Orsi, Gerardo I. Simari. 554-563 [doi]
• Sparse Q-learning with Mirror DescentSridhar Mahadevan, Bo Liu. 564-573 [doi]
• Multi-objective Influence DiagramsRadu Marinescu, Abdul Razak, Nic Wilson. 574-583 [doi]
• Unsupervised Joint Alignment and Clustering using Bayesian NonparametricsMarwan A. Mattar, Allen R. Hanson, Erik G. Learned-Miller. 584-593 [doi]
• Hokusai - Sketching Streams in Real TimeSergiy Matusevych, Alexander J. Smola, Amr Ahmed. 594-603 [doi]
• The Complexity of Approximately Solving Influence DiagramsDenis Deratani Mauá, Cassio Polpo de Campos, Marco Zaffalon. 604-613 [doi]
• Learning STRIPS Operators from Noisy and Incomplete ObservationsKira Mourão, Luke S. Zettlemoyer, Ronald P. A. Petrick, Mark Steedman. 614-623 [doi]
• Markov Chains on Orbits of Permutation GroupsMathias Niepert. 624-633 [doi]
• Local Structure Discovery in Bayesian NetworksTeppo Niinimaki, Pekka Parviainen. 634-643 [doi]
• Hilbert Space Embeddings of POMDPsYu Nishiyama, Abdeslam Boularias, Arthur Gretton, Kenji Fukumizu. 644-653 [doi]
• Exploiting Structure in Cooperative Bayesian GamesFrans A. Oliehoek, Shimon Whiteson, Matthijs T. J. Spaan. 654-665 [doi]
• A Case Study in Complexity Estimation: Towards Parallel Branch-and-Bound over Graphical ModelsLars Otten, Rina Dechter. 665-674 [doi]
• A Spectral Algorithm for Latent Junction TreesAnkur P. Parikh, Le Song, Mariya Ishteva, Gabi Teodoru, Eric P. Xing. 675-684 [doi]
• A Model-Based Approach to Rounding in Spectral ClusteringLeonard K. M. Poon, April H. Liu, Tengfei Liu, Nevin Lianwen Zhang. 685-694 [doi]
• A Maximum Likelihood Approach For Selecting Sets of AlternativesAriel D. Procaccia, Sashank Jakkam Reddi, Nisarg Shah. 695-704 [doi]
• New Advances and Theoretical Insights into EDMLKhaled S. Refaat, Arthur Choi, Adnan Darwiche. 705-714 [doi]
• Active Learning with Distributional EstimatesJens Roeder, Boaz Nadler, Kevin Kunzmann, Fred A. Hamprecht. 715-725 [doi]
• Integrated Nested Laplace Approximation for Bayesian Nonparametric PhylodynamicsJulia A. Palacios, Vladimir N. Minin. 726-735 [doi]
• From imprecise probability assessments to conditional probabilities with quasi additive classes of conditioning eventsGiuseppe Sanfilippo. 736-745 [doi]
• Efficient MRF Energy Minimization via Adaptive Diminishing SmoothingBogdan Savchynskyy, Stefan Schmidt, Jörg H. Kappes, Christoph Schnörr. 746-755 [doi]
• Predicting the behavior of interacting humans by fusing data from multiple sourcesErik J. Schlicht, Ritchie Lee, David H. Wolpert, Mykel J. Kochenderfer, Brendan Tracey. 756-765 [doi]
• Latent Composite Likelihood Learning for the Structured Canonical Correlation ModelRicardo Silva. 765-774 [doi]
• Spectrum Identification using a Dynamic Bayesian Network Model of Tandem Mass SpectraAjit P. Singh, John Halloran, Jeff Bilmes, Katrin Kirchhoff, William Stafford Noble. 775-785 [doi]
• Detecting Change-Points in Time Series by Maximum Mean Discrepancy of Ordinal Pattern DistributionsMathieu Sinn, Ali Ghodsi, Karsten Keller. 786-794 [doi]
• Efficiently Searching for Frustrated Cycles in MAP InferenceDavid Sontag, Do Kook Choe, Yitao Li. 795-804 [doi]
• An Approximate Solution Method for Large Risk-Averse Markov Decision ProcessesMarek Petrik, Dharmashankar Subramanian. 805-814 [doi]
• Probability and Asset Updating using Bayesian Networks for Combinatorial Prediction MarketsWei Sun 0009, Robin Hanson, Kathryn B. Laskey, Charles Twardy. 815-824 [doi]
• Fast Exact Inference for Recursive Cardinality ModelsDaniel Tarlow, Kevin Swersky, Richard S. Zemel, Ryan Prescott Adams, Brendan J. Frey. 825-834 [doi]
• Value Function Approximation in Noisy Environments Using Locally Smoothed Regularized Approximate Linear ProgramsGavin Taylor, Ronald Parr. 835-842 [doi]
• Factorized Multi-Modal Topic ModelSeppo Virtanen, Yangqing Jia, Arto Klami, Trevor Darrell. 843-851 [doi]
• Latent Dirichlet Allocation Uncovers Spectral Characteristics of Drought Stressed PlantsMirwaes Wahabzada, Kristian Kersting, Christian Bauckhage, Christoph Römer, Agim Ballvora, Francisco Pinto, Uwe Rascher, Jens Leon, Lutz Ploemer. 852-862 [doi]
• Dynamic Teaching in Sequential Decision Making EnvironmentsThomas J. Walsh, Sergiu Goschin. 863-872 [doi]
• Fast Graph Construction Using Auction AlgorithmJun Wang, Yinglong Xia. 873-882 [doi]
• A Cluster-Cumulant Expansion at the Fixed Points of Belief PropagationMax Welling, Andrew Gelfand, Alexander T. Ihler. 883-892 [doi]
• Self-Confirming Price Prediction Strategies for Simultaneous One-Shot AuctionsMichael P. Wellman, Eric Sodomka, Amy Greenwald. 893-902 [doi]
• Latent Structured RankingJason Weston, John Blitzer. 903-913 [doi]
• Non-Convex Rank Minimization via an Empirical Bayesian ApproachDavid P. Wipf. 914-923 [doi]
• An Improved Admissible Heuristic for Learning Optimal Bayesian NetworksChanghe Yuan, Brandon M. Malone. 924-933 [doi]
• FHHOP: A Factored Hybrid Heuristic Online Planning Algorithm for Large POMDPsZhongzhang Zhang, Xiaoping Chen. 934-943 [doi]
• Guess Who Rated This Movie: Identifying Users Through Subspace ClusteringAmy Zhang, Nadia Fawaz, Stratis Ioannidis, Andrea Montanari. 944-953 [doi]