On Maximum a Posteriori Estimation of Hidden Markov Processes

Armen Allahverdyan, Aram Galstyan; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:1-9

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Lower Bound Bayesian Networks - Efficient Inference of Lower Bounds on Probability Distributions

Daniel Andrade, Bernhard Sick; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:10-18

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On Smoothing and Inference for Topic Models

Arthur Asuncion, Max Welling, Padhraic Smyth, Yee Whye Teh; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:19-26

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REGAL: A Regularization based Algorithm for Reinforcement Learning in Weakly Communicating MDPs

Peter Bartlett, Ambuj Tewari; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:27-34

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Alternating Projections for Learning with Expectation Constraints

Kedar Bellare, Gregory Druck, Andrew McCallum; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:35-42

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Conditional Probability Tree Estimation Analysis and Algorithms

Alina Beygelzimer, John Langford, Yury Lifshits, Gregory Sorkin, Alex Strehl; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:43-50

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Deterministic POMDPs Revisited

Blai Bonet; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:51-58

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Optimization of Structured Mean Field Objectives

Alexandre Bouchard-Côté, Mike Jordan; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:59-66

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Multilingual Topic Models for Unaligned Text

Jordan Boyd-Graber, David Blei; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:67-74

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Convex Coding

David Bradley, J. Andrew Bagnell; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:75-82

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Temporal Difference Networks for Dynamical Systems with Continuous Observations and Actions

Christopher M. Vigorito; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:83-90

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Mean Field Variational Approximation for Continuous-Time Bayesian Networks

Ido Cohn, Tal El-hay, Nir Friedman, Raz Kupferman; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:91-100

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Prediction Markets, Mechanism Design, and Cooperative Game Theory

Vincent Conitzer; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:101-108

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$L_2$ Regularization for Learning Kernels

Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:109-116

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Complexity Analysis and Variational Inference for Interpretation-based Probabilistic Description Logic

Fabio Cozman, Rodrigo Polastro; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:117-125

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Seeing the Forest Despite the Trees: Large Scale Spatial-Temporal Decision Making

Mark Crowley, David Poole, John Nelson; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:126-134

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Bayesian Multitask Learning with Latent Hierarchies

Hal Daume; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:135-142

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Correlated Non-Parametric Latent Feature Models

Finale Doshi-Velez, Zoubin Ghahramani; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:143-150

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A Sampling-Based Approach to Computing Equilibria in Succinct Extensive-Form Games

Miroslav Dudik, Geoffrey Gordon; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:151-160

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Learning Continuous-Time Social Network Dynamics

Yu Fan, Christian Shelton; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:161-168

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Robust Graphical Modelling with t-Distributions

Michael Finegold, Mathias Drton; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:169-176

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Generating Optimal Plans in Highly-Dynamic Domains

Christian Fritz, Sheila McIlraith; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:177-184

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Approximate inference on planar graphs using Loop Calculus and Belief Propagation

Vicenç Gómez, Bert Kappen, Misha Chertkov; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:185-192

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Censored Exploration and the Dark Pool Problem

Kuzman Ganchev, Michael Kearns, Yuriy Nevmyvaka, Jennifer Wortman; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:193-202

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Distributed Parallel Inference on Large Factor Graphs

Joseph Gonzalez, Yucheng Low, Carlos Guestrin, David O’Hallaron; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:203-212

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First-Order Mixed Integer Linear Programming

Geoffrey Gordon, Sue Ann Hong, Miroslav Dudik; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:213-222

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New inference strategies for solving Markov Decision Processes using reversible jump MCMC

Matt Hoffman, Hendrik Kueck, Nando de Freitas, Arnaud Doucet; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:223-231

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Improved Mean and Variance Approximations for Belief Net Response via Network Doubling

Peter Hooper, Yasin Abbasi-Yadkori, Bret Hoehn, Russell Greiner; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:232-239

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Bayesian Discovery of Linear Acyclic Causal Models

Patrik Hoyer, Antti Hyttinen; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:240-248

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Identifying confounders using additive noise models

Dominik Janzing, Jonas Peters, Joris Mooij, Bernhard Schoelkopf; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:249-257

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MAP Estimation, Message Passing, and Perfect Graphs

Tony Jebara; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:258-267

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Temporal Action-Graph Games: A New Representation for Dynamic Games

Albert Xin Jiang, Kevin Leyton-Brown, Avi Pfeffer; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:268-276

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Counting Belief Propagation

Kristian Kersting, Babak Ahmadi, Sriraam Natarajan; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:277-284

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Monolingual Probabilistic Programming Using Generalized Coroutines

Oleg Kiselyov, Chung-chieh Shan; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:285-292

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Constraint Processing in Lifted Probabilistic Inference

Jacek Kisynski, David Poole; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:293-302

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The Temporal Logic of Causal Structures

Samantha Kleinberg, Bud Mishra; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:303-312

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MAP Estimation of Semi-Metric MRFs via Hierarchical Graph Cuts

M. Pawan Kumar, Daphne Koller; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:313-320

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Quantum Annealing for Clustering

Kenichi Kurihara, Shu Tanaka, Seiji Miyashita; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:321-328

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Improving Compressed Counting

Ping Li; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:329-338

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A Bayesian Sampling Approach to Exploration in Reinforcement Learning

Michael Littman, Lihong Li, Ali Nouri, David Wingate, John Asmuth; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:339-346

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Multi-Task Feature Learning Via Efficient $L_2,1$-Norm Minimization

Jun Liu, Shuiwang Ji, Jieping Ye; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:347-356

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Quantifying the Strategyproofness of Mechanisms via Metrics on Payoff Distributions

Benjamin Lubin, David Parkes; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:357-366

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Interpretation and Generalization of Score Matching

Siwei Lyu; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:367-374

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Multiple Source Adaptation and the Renyi Divergence

Yishay Mansour, Mehryar Mohri, Afshin Rostamizadeh; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:375-382

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Domain Knowledge Uncertainty and Probabilistic Parameter Constraints

Yi Mao, Guy Lebanon; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:383-390

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Group Sparse Priors for Covariance Estimation

Benjamin Marlin, Mark Schmidt, Kevin Murphy; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:391-400

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Convergent message passing algorithms - a unifying view

Talya Meltzer, Amir Globerson, Yair Weiss; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:401-409

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Convexifying the Bethe Free Energy

Ofer Meshi, Ariel Jaimovich, Amir Globerson, Nir Friedman; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:410-418

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Virtual Vector Machine for Bayesian Online Classification

Thomas Minka, Rongjing Xiang, Alan Qi; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:419-426

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Using the Gene Ontology Hierarchy when Predicting Gene Function

Sara Mostafavi, Quaid Morris; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:427-435

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Inference Algorithms and Matrix Representations for Probabilistic Conditional Independence

Mathias Niepert; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:436-443

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Exact Structure Discovery in Bayesian Networks with Less Space

Pekka Parviainen, Mikko Koivisto; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:444-451

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Regret-based Reward Elicitation for Markov Decision Processes

Kevin Regan, Craig Boutilier; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:452-459

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BPR: Bayesian Personalized Ranking from Implicit Feedback

Steffen Rendle, Christoph Freudenthaler, Zeno Gantner, Lars Schmidt-Thieme; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:460-469

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A factorization criterion for acyclic directed mixed graphs

Thomas Richardson; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:470-478

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Characterizing predictable classes of processes

Daniil Ryabko; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:479-486

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Quantum Annealing for Variational Bayes Inference

Issei Sato, Kenichi Kurihara, Shu Tanaka, Hiroshi Nakagawa, Seiji Miyashita; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:487-494

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Modeling Discrete Interventional Data using Directed Cyclic Graphical Models

Mark Schmidt, Kevin Murphy; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:495-503

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Bisimulation-based Approximate Lifted Inference

Prithviraj Sen, Amol Deshpande, Lise Getoor; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:504-513

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A direct method for estimating a causal ordering in a linear non-Gaussian acyclic model

Shohei Shimizu, Aapo Hyvärinen, Yoshinobu Kawahara, Takashi Washio; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:514-521

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Effects of Treatment on the Treated: Identification and Generalization

Ilya Shpitser, Judea Pearl; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:522-529

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Products of Hidden Markov Models: It Takes N>1 to Tango

Graham Taylor, Geoffrey Hinton; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:530-537

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Measuring Inconsistency in Probabilistic Knowledge Bases

Matthias Thimm; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:538-545

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Computing Posterior Probabilities of Structural Features in Bayesian Networks

Jin Tian, Ru He; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:546-555

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Ordinal Boltzmann Machines for Collaborative Filtering

Tran The Truyen, Dinh Phung, Svetha Venkatesh; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:556-564

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Probabilistic Structured Predictors

Shankar Vembu, Thomas Gärtner, Mario Boley; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:565-572

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Which Spatial Partition Trees are Adaptive to Intrinsic Dimension?

Nakul Verma, Samory Kpotufe, Sanjoy Dasgupta; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:573-582

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Simulation-Based Game Theoretic Analysis of Keyword Auctions with Low-Dimensional Bidding Strategies

Yevgeniy Vorobeychik; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:583-590

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Exploring compact reinforcement-learning representations with linear regression

Thomas Walsh, Istvan Szita, Carlos Diuk, Michael Littman; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:591-598

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Herding Dynamic Weights for Partially Observed Random Field Models

Max Welling; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:599-606

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The Infinite Latent Events Model

David Wingate, Noah Goodman, Daniel Roy, Josh Tenenbaum; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:607-614

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A Bayesian Framework for Community Detection Integrating Content and Link

Tianbao Yang, Rong Jin, Yun Chi, Shenghuo Zhu; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:615-622

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The Entire Quantile Path of a Risk-Agnostic SVM Classifier

Jin Yu, S V N Vishwanathan, Jian Zhang; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:623-630

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Most Relevant Explanation: Properties, Algorithms, and Evaluations

Changhe Yuan, Xiaolu Liu, Tsai-Ching Lu, Heejin Lim; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:631-638

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A Uniqueness Theorem for Clustering

Reza Bosagh Zadeh, Shai Ben-David; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:639-646

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On the Identifiability of the Post-Nonlinear Causal Model

Kun Zhang, Aapo Hyvärinen; Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, PMLR R7:647-655

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