The 28th Uncertainty in Artificial Intelligence Conference: Preface

Nando de Freitas, Kevin Murphy; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:1-4

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The Do-Calculus Revisited

Judea Pearl; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:5-12

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Learning to Rank With Bregman Divergences and Monotone Retargeting

Sreangsu Acharyya, Oluwasanmi Koyejo, Joydeep Ghosh; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:13-22

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Markov Determinantal Point Processes

Raja Hafiz Affandi, Alex Kulesza, Emily B. Fox; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:23-32

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Toward Large-Scale Agent Guidance in an Urban Taxi Service

Lucas Agussurja, Hoong Chuin Lau; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:33-40

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Uncertain Congestion Games with Assorted Human Agent Populations

Asrar Ahmed, Pradeep Varakantham, Shih-Fen Cheng; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:41-50

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Budget Optimization for Sponsored Search: Censored Learning in MDPs

Kareem Amin, Michael Kearns, Peter Key, Anton Schwaighofer; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:51-60

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Variational Dual-Tree Framework for Large-Scale Transition Matrix Approximation

Saeed Amizadeh, Bo Thiesson, Milos Hauskrecht; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:61-70

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Exploiting Uniform Assignments in First-Order MPE

Udi Apsel, Ronen I. Brafman; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:71-80

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Plackett-Luce regression: A new Bayesian model for polychotomous data

Cedric Archambeau, Francois Caron; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:81-89

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Deterministic MDPs with Adversarial Rewards and Bandit Feedback

Raman Arora, Ofer Dekel, Ambuj Tewari; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:90-99

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Video In Sentences Out

Andrei Barbu, Alexander Bridge, Zachary Burchill, Dan Coroian, Sven Dickinson, Sanja Fidler, Aaron Michaux, Sam Mussman, Siddharth Narayanaswamy, Dhaval Salvi, Lara Schmidt, Jiangnan Shangguan, Jeffrey Mark Siskind, Jarrell Waggoner, Song Wang, Jinlian Wei, Yifan Yin, Zhiqi Zhang; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:100-110

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Causal Inference by Surrogate Experiments: z-Identifiability

Elias Bareinboim, Judea Pearl; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:111-118

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An Efficient Message-Passing Algorithm for the M-Best MAP Problem

Dhruv Batra; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:119-128

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Lifted Relax, Compensate and then Recover: From Approximate to Exact Lifted Probabilistic Inference

Guy Van den Broeck, Arthur Choi, Adnan Darwiche; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:129-139

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Leveraging Side Observations in Stochastic Bandits

Stephane Caron, Branislav Kveton, Marc Lelarge, Smriti Bhagat; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:140-149

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Interdependent Defense Games: Modeling Interdependent Security under Deliberate Attacks

Hau Chan, Michael Ceyko, Luis E. Ortiz; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:150-160

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Decentralized Data Fusion and Active Sensing with Mobile Sensors for Modeling and Predicting Spatiotemporal Traffic Phenomena

Jie Chen, Kian Hsiang Low, Colin Keng-Yan Tan, Ali Oran, Patrick Jaillet, John Dolan, Gaurav Sukhatme; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:161-171

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Bayesian Structure Learning for Markov Random Fields with a Spike and Slab Prior

Yutian Chen, Max Welling; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:172-182

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Designing Informative Securities

Yiling Chen, Mike Ruberry, Jennifer Wortman Vaughan; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:183-193

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Lifted Relational Variational Inference

Jaesik Choi, Eyal Amir; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:194-204

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A Bayesian Approach to Constraint Based Causal Inference

Tom Claassen, Tom Heskes; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:205-214

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Scaling Up Decentralized MDPs Through Heuristic Search

Jilles S. Dibangoye, Christopher Amato, Arnoud Doniec; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:215-224

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Graph-Coupled HMMs for Modeling the Spread of Infection

Wen Dong, Alex Pentland, Katherine A. Heller; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:225-234

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DBN-Based Combinatorial Resampling for Articulated Object Tracking

Severine Dubuisson, Christophe Gonzales, Xuan Son NGuyen; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:235-244

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Sample-efficient Nonstationary Policy Evaluation for Contextual Bandits

Miroslav Dudik, Dumitru Erhan, John Langford, Lihong Li; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:245-252

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Uniform Solution Sampling Using a Constraint Solver As an Oracle

Stefano Ermon, Carla P. Gomes, Bart Selman; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:253-262

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Spectral Estimation of Conditional Random Graph Models for Large-Scale Network Data

Antonino Freno, Mikaela Keller, Gemma C. Garriga, Marc Tommasi; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:263-272

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Mechanism Design for Cost Optimal PAC Learning in the Presence of Strategic Noisy Annotators

Dinesh Garg, Sourangshu Bhattacharya, S. Sundararajan, Shirish Shevade; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:273-283

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Combining local search techniques and path following for bimatrix games

Nicola Gatti, Giorgio Patrini, Marco Rocco, Tuomas Sandholm; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:284-293

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Generalized Belief Propagation on Tree Robust Structured Region Graphs

Andrew E. Gelfand, Max Welling; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:294-303

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Exploiting compositionality to explore a large space of model structures

Roger Grosse, Ruslan R Salakhutdinov, William T. Freeman, Joshua B. Tenenbaum; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:304-313

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A Slice Sampler for Restricted Hierarchical Beta Process with Applications to Shared Subspace Learning

Sunil Kumar Gupta, Dinh Q. Phung, Svetha Venkatesh; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:314-323

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Semantic Understanding of Professional Soccer Commentaries

Hannaneh Hajishirzi, Mohammad Rastegari, Ali Farhadi, Jessica K. Hodgins; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:324-333

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Weighted Sets of Probabilities and MinimaxWeighted Expected Regret: New Approaches for Representing Uncertainty and Making Decisions

Joseph Y. Halpern, Samantha Leung; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:334-343

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Selecting Computations: Theory and Applications

Nicholas Hay, Stuart Russell, David Tolpin, Solomon Eyal Shimony; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:344-353

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Tightening Fractional Covering Upper Bounds on the Partition Function for High-Order Region Graphs

Tamir Hazan, Jian Peng, Amnon Shashua; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:354-364

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Inferring Strategies from Limited Reconnaissance in Real-time Strategy Games

Jesse Hostetler, Ethan W. Dereszynski, Thomas G. Dietterich, Alan Fern; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:365-374

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Optimally-Weighted Herding is Bayesian Quadrature

Ferenc Huszar, David Duvenaud; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:375-384

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Causal Discovery of Linear Cyclic Models from Multiple Experimental Data Sets with Overlapping Variables

Antti Hyttinen, Frederick Eberhardt, Patrik O. Hoyer; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:385-394

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Join-graph based cost-shifting schemes

Alexander T. Ihler, Natalia Flerova, Rina Dechter, Lars Otten; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:395-404

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Algorithms for Approximate Minimization of the Difference Between Submodular Functions, with Applications

Rishabh Iyer, Jeff A. Bilmes; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:405-415

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Incentive Decision Processes

Sashank J. Reddi, Emma Brunskill; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:416-425

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Active Imitation Learning via Reduction to I.I.D. Active Learning

Kshitij Judah, Alan Fern, Thomas G. Dietterich; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:426-435

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A Theory of Goal-Oriented MDPs with Dead Ends

Andrey Kolobov,  Mausam, Daniel Weld; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:436-445

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Dynamic Stochastic Orienteering Problems for Risk-Aware Applications

Hoong Chuin Lau, William Yeoh, Pradeep Varakantham, Duc Thien Nguyen, Huaxing Chen; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:446-456

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Computing Optimal Security Strategies for Interdependent Assets

Joshua Letchford, Yevgeniy Vorobeychik; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:457-466

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Nested Dictionary Learning for Hierarchical Organization of Imagery and Text

Lingbo Li, XianXing Zhang, Mingyuan Zhou, Lawrence Carin; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:467-476

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Learning Mixtures of Submodular Shells with Application to Document Summarization

Hui Lin, Jeff A. Bilmes; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:477-488

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Crowdsourcing Control: Moving Beyond Multiple Choice

Christopher H. Lin,  Mausam, Daniel Weld; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:489-498

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Response Aware Model-Based Collaborative Filtering

Guang Ling, Haiqin Yang, Michael R. Lyu, Irwin King; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:499-508

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Graphical-model Based Multiple Testing under Dependence, with Applications to Genome-wide Association Studies

Jie Liu, Chunming Zhang, Catherine McCarty, Peggy Peissig, Elizabeth Burnside, David Page; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:509-520

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Belief Propagation for Structured Decision Making

Qiang Liu, Alexander T. Ihler; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:521-530

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Closed-Form Learning of Markov Networks from Dependency Networks

Daniel Lowd; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:531-540

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Bayesian Vote Manipulation: Optimal Strategies and Impact on Welfare

Tyler Lu, Pingzhong Tang, Ariel D. Procaccia, Craig Boutilier; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:541-551

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Heuristic Ranking in Tightly Coupled Probabilistic Description Logics

Thomas Lukasiewicz, Maria Vanina Martinez, Giorgio Orsi, Gerardo I. Simari; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:552-561

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Sparse Q-learning with Mirror Descent

Sridhar Mahadevan, Bo Liu; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:562-571

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Multi-objective Influence Diagrams

Radu Marinescu, Abdul Razak, Nic Wilson; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:572-581

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Unsupervised Joint Alignment and Clustering using Bayesian Nonparametrics

Marwan A. Mattar, Allen R. Hanson, Erik G. Learned-Miller; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:582-591

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Hokusai - Sketching Streams in Real Time

Sergiy Matusevych, Alex Smola, Amr Ahmed; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:592-601

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The Complexity of Approximately Solving Influence Diagrams

Denis D. Maua, Cassio Polpo de Campos, Marco Zaffalon; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:602-611

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Learning STRIPS Operators from Noisy and Incomplete Observations

Kira Mourao, Luke S. Zettlemoyer, Ronald P. A. Petrick, Mark Steedman; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:612-621

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Markov Chains on Orbits of Permutation Groups

Mathias Niepert; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:622-632

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Local Structure Discovery in Bayesian Networks

Teppo Niinimaki, Pekka Parviainen; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:633-642

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Hilbert Space Embeddings of POMDPs

Yu Nishiyama, Abdeslam Boularias, Arthur Gretton, Kenji Fukumizu; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:643-652

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Exploiting Structure in Cooperative Bayesian Games

Frans A. Oliehoek, Shimon Whiteson, Matthijs T. J. Spaan; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:653-663

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A Case Study in Complexity Estimation: Towards Parallel Branch-and-Bound over Graphical Models

Lars Otten, Rina Dechter; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:664-673

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A Spectral Algorithm for Latent Junction Trees

Ankur P. Parikh, Le Song, Mariya Ishteva, Gabi Teodoru, Eric P. Xing; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:674-683

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A Model-Based Approach to Rounding in Spectral Clustering

Leonard K. M. Poon, April H. Liu, Tengfei Liu, Nevin Lianwen Zhang; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:684-693

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A Maximum Likelihood Approach For Selecting Sets of Alternatives

Ariel D. Procaccia, Sashank J. Reddi, Nisarg Shah; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:694-703

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New Advances and Theoretical Insights into EDML

Khaled S. Refaat, Arthur Choi, Adnan Darwiche; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:704-713

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Active Learning with Distributional Estimates

Jens Roeder, Boaz Nadler, Kevin Kunzmann, Fred A. Hamprecht; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:714-724

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Integrated Nested Laplace Approximation for Bayesian Nonparametric Phylodynamics

Julia A. Palacios, Vladimir N. Minin; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:725-734

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From imprecise probability assessments to conditional probabilities with quasi additive classes of conditioning events

Giuseppe Sanfilippo; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:735-744

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Efficient MRF Energy Minimization via Adaptive Diminishing Smoothing

Bogdan Savchynskyy, Stefan Schmidt, Joerg Kappes, Christoph Schnoerr; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:745-754

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Predicting the behavior of interacting humans by fusing data from multiple sources

Erik J. Schlicht, Ritchie Lee, David H. Wolpert, Mykel J. Kochenderfer, Brendan Tracey; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:755-763

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Latent Composite Likelihood Learning for the Structured Canonical Correlation Model

Ricardo Silva; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:764-773

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Spectrum Identification using a Dynamic Bayesian Network Model of Tandem Mass Spectra

Ajit P. Singh, John Halloran, Jeff A. Bilmes, Katrin Kirchoff, William S. Noble; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:774-784

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Detecting Change-Points in Time Series by Maximum Mean Discrepancy of Ordinal Pattern Distributions

Mathieu Sinn, Ali Ghodsi, Karsten Keller; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:785-793

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Efficiently Searching for Frustrated Cycles in MAP Inference

David Sontag, Do Kook Choe, Yitao Li; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:794-803

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An Approximate Solution Method for Large Risk-Averse Markov Decision Processes

Marek Petrik, Dharmashankar Subramanian; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:804-813

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Probability and Asset Updating using Bayesian Networks for Combinatorial Prediction Markets

Wei Sun, Robin Hanson, Kathryn Blackmond Laskey, Charles Twardy; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:814-823

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Fast Exact Inference for Recursive Cardinality Models

Daniel Tarlow, Kevin Swersky, Richard S. Zemel, Ryan Prescott Adams, Brendan J. Frey; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:824-833

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Value Function Approximation in Noisy Environments Using Locally Smoothed Regularized Approximate Linear Programs

Gavin Taylor, Ron Parr; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:834-841

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Factorized Multi-Modal Topic Model

Seppo Virtanen, Yangqing Jia, Arto Klami, Trevor Darrell; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:842-850

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Latent Dirichlet Allocation Uncovers Spectral Characteristics of Drought Stressed Plants

Mirwaes Wahabzada, Kristian Kersting, Christian Bauckhage, Christoph Roemer, Agim Ballvora, Francisco Pinto, Uwe Rascher, Jens Leon, Lutz Ploemer; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:851-861

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Dynamic Teaching in Sequential Decision Making Environments

Thomas J. Walsh, Sergiu Goschin; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:862-871

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Fast Graph Construction Using Auction Algorithm

Jun Wang, Yinglong Xia; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:872-881

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A Cluster-Cumulant Expansion at the Fixed Points of Belief Propagation

Max Welling, Andrew E. Gelfand, Alexander T. Ihler; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:882-891

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Self-Confirming Price Prediction Strategies for Simultaneous One-Shot Auctions

Michael P. Wellman, Eric Sodomka, Amy Greenwald; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:892-901

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Latent Structured Ranking

Jason Weston, John Blitzer; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:902-912

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Non-Convex Rank Minimization via an Empirical Bayesian Approach

David Wipf; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:913-922

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An Improved Admissible Heuristic for Learning Optimal Bayesian Networks

Changhe Yuan, Brandon Malone; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:923-932

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FHHOP: A Factored Hybrid Heuristic Online Planning Algorithm for Large POMDPs

Zhongzhang Zhang, Xiaoping Chen; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:933-942

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Guess Who Rated This Movie: Identifying Users Through Subspace Clustering

Amy Zhang, Nadia Fawaz, Stratis Ioannidis, Andrea Montanari; Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, PMLR R10:943-952

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