Abstract is missing.
- On Maximum a Posteriori Estimation of Hidden Markov ProcessesArmen E. Allahverdyan, Aram Galstyan. 1-9 [doi]
- Lower Bound Bayesian Networks - An Efficient Inference of Lower Bounds on Probability Distributions in Bayesian NetworksDaniel Andrade, Bernhard Sick. 10-18 [doi]
- A Bayesian Sampling Approach to Exploration in Reinforcement LearningJohn Asmuth, Lihong Li, Michael L. Littman, Ali Nouri, David Wingate. 19-26 [doi]
- On Smoothing and Inference for Topic ModelsArthur U. Asuncion, Max Welling, Padhraic Smyth, Yee Whye Teh. 27-34 [doi]
- REGAL: A Regularization based Algorithm for Reinforcement Learning in Weakly Communicating MDPsPeter L. Bartlett, Ambuj Tewari. 35-42 [doi]
- Alternating Projections for Learning with Expectation ConstraintsKedar Bellare, Gregory Druck, Andrew McCallum. 43-50 [doi]
- Conditional Probability Tree Estimation Analysis and AlgorithmsAlina Beygelzimer, John Langford, Yury Lifshits, Gregory B. Sorkin, Alexander L. Strehl. 51-58 [doi]
- Deterministic POMDPs RevisitedBlai Bonet. 59-66 [doi]
- Optimization of Structured Mean Field ObjectivesAlexandre Bouchard-Côté, Michael I. Jordan. 67-74 [doi]
- Multilingual Topic Models for Unaligned TextJordan L. Boyd-Graber, David M. Blei. 75-82 [doi]
- Convex CodingDavid M. Bradley, James Bagnell. 83-90 [doi]
- Mean Field Variational Approximation for Continuous-Time Bayesian NetworksIdo Cohn, Tal El-Hay, Nir Friedman, Raz Kupferman. 91-100 [doi]
- Prediction Markets, Mechanism Design, and Cooperative Game TheoryVincent Conitzer. 101-108 [doi]
- L2 Regularization for Learning KernelsCorinna Cortes, Mehryar Mohri, Afshin Rostamizadeh. 109-116 [doi]
- Complexity Analysis and Variational Inference for Interpretation-based Probabilistic Description LogicFabio Gagliardi Cozman, Rodrigo Bellizia Polastro. 117-125 [doi]
- Seeing the Forest Despite the Trees: Large Scale Spatial-Temporal Decision MakingMark Crowley, John Nelson, David Poole. 126-134 [doi]
- Bayesian Multitask Learning with Latent HierarchiesHal Daumé III. 135-142 [doi]
- Correlated Non-Parametric Latent Feature ModelsFinale Doshi-Velez, Zoubin Ghahramani. 143-150 [doi]
- A Sampling-Based Approach to Computing Equilibria in Succinct Extensive-Form GamesMiroslav Dudík, Geoffrey J. Gordon. 151-160 [doi]
- Learning Continuous-Time Social Network DynamicsYu Fan, Christian R. Shelton. 161-168 [doi]
- Robust Graphical Modeling with t-DistributionsMichael Finegold, Mathias Drton. 169-176 [doi]
- Generating Optimal Plans in Highly-Dynamic DomainsChristian Fritz, Sheila A. McIlraith. 177-184 [doi]
- Censored Exploration and the Dark Pool ProblemKuzman Ganchev, Michael Kearns, Yuriy Nevmyvaka, Jennifer Wortman Vaughan. 185-194 [doi]
- Approximate inference on planar graphs using Loop Calculus and Belief PropagationVicenç Gómez, Hilbert J. Kappen, Michael Chertkov. 195-202 [doi]
- Distributed Parallel Inference on Large Factor GraphsJoseph Gonzalez, Yucheng Low, Carlos Guestrin, David R. O'Hallaron. 203-212 [doi]
- First-Order Mixed Integer Linear ProgrammingGeoffrey J. Gordon, Sue Ann Hong, Miroslav Dudík. 213-222 [doi]
- New inference strategies for solving Markov Decision Processes using reversible jump MCMCMatthias Hoffman, Hendrik Kück, Nando de Freitas, Arnaud Doucet. 223-231 [doi]
- Improved Mean and Variance Approximations for Belief Net Responses via Network DoublingPeter Hooper, Yasin Abbasi-Yadkori, Russell Greiner, Bret Hoehn. 232-239 [doi]
- Bayesian Discovery of Linear Acyclic Causal ModelsPatrik O. Hoyer, Antti Hyttinen. 240-248 [doi]
- Identifying confounders using additive noise modelsDominik Janzing, Jonas Peters, Joris M. Mooij, Bernhard Schölkopf. 249-257 [doi]
- MAP Estimation, Message Passing, and Perfect GraphsTony Jebara. 258-267 [doi]
- Temporal Action-Graph Games: A New Representation for Dynamic GamesAlbert Xin Jiang, Kevin Leyton-Brown, Avi Pfeffer. 268-276 [doi]
- Counting Belief PropagationKristian Kersting, Babak Ahmadi, Sriraam Natarajan. 277-284 [doi]
- Monolingual Probabilistic Programming Using Generalized CoroutinesOleg Kiselyov, Chung-chieh Shan. 285-292 [doi]
- Constraint Processing in Lifted Probabilistic InferenceJacek Kisynski, David Poole. 293-302 [doi]
- The Temporal Logic of Causal StructuresSamantha Kleinberg, Bud Mishra. 303-312 [doi]
- MAP Estimation of Semi-Metric MRFs via Hierarchical Graph CutsM. Pawan Kumar, Daphne Koller. 313-320 [doi]
- Quantum Annealing for ClusteringKenichi Kurihara, Shu Tanaka, Seiji Miyashita. 321-328 [doi]
- Improving Compressed CountingPing Li 0001. 329-338 [doi]
- Multi-Task Feature Learning Via Efficient l2, 1-Norm MinimizationJun Liu, Shuiwang Ji, Jieping Ye. 339-348 [doi]
- Quantifying the Strategyproofness of Mechanisms via Metrics on Payoff DistributionsBenjamin Lubin, David C. Parkes. 349-358 [doi]
- Interpretation and Generalization of Score MatchingSiwei Lyu. 359-366 [doi]
- Multiple Source Adaptation and the Rényi DivergenceYishay Mansour, Mehryar Mohri, Afshin Rostamizadeh. 367-374 [doi]
- Domain Knowledge Uncertainty and Probabilistic Parameter ConstraintsYi Mao, Guy Lebanon. 375-382 [doi]
- Group Sparse Priors for Covariance EstimationBenjamin M. Marlin, Mark W. Schmidt, Kevin P. Murphy. 383-392 [doi]
- Convergent message passing algorithms - a unifying viewTalya Meltzer, Amir Globerson, Yair Weiss. 393-401 [doi]
- Convexifying the Bethe Free EnergyOfer Meshi, Ariel Jaimovich, Amir Globerson, Nir Friedman. 402-410 [doi]
- Virtual Vector Machine for Bayesian Online ClassificationThomas P. Minka, Rongjing Xiang, Yuan (Alan) Qi. 411-418 [doi]
- Using the Gene Ontology Hierarchy when Predicting Gene FunctionSara Mostafavi, Quaid Morris. 419-427 [doi]
- Logical Inference Algorithms and Matrix Representations for Probabilistic Conditional IndependenceMathias Niepert. 428-435 [doi]
- Exact Structure Discovery in Bayesian Networks with Less SpacePekka Parviainen, Mikko Koivisto. 436-443 [doi]
- Regret-based Reward Elicitation for Markov Decision ProcessesKevin Regan, Craig Boutilier. 444-451 [doi]
- BPR: Bayesian Personalized Ranking from Implicit FeedbackSteffen Rendle, Christoph Freudenthaler, Zeno Gantner, Lars Schmidt-Thieme. 452-461 [doi]
- A factorization criterion for acyclic directed mixed graphsThomas Richardson. 462-470 [doi]
- Characterizing predictable classes of processesDaniil Ryabko. 471-478 [doi]
- Quantum Annealing for Variational Bayes InferenceIssei Sato, Kenichi Kurihara, Shu Tanaka, Hiroshi Nakagawa, Seiji Miyashita. 479-486 [doi]
- Modeling Discrete Interventional Data using Directed Cyclic Graphical ModelsMark W. Schmidt, Kevin P. Murphy. 487-495 [doi]
- Bisimulation-based Approximate Lifted InferencePrithviraj Sen, Amol Deshpande, Lise Getoor. 496-505 [doi]
- A direct method for estimating a causal ordering in a linear non-Gaussian acyclic modelShohei Shimizu, Aapo Hyvärinen, Yoshinobu Kawahara. 506-513 [doi]
- Effects of Treatment on the Treated: Identification and GeneralizationIlya Shpitser, Judea Pearl. 514-521 [doi]
- Products of Hidden Markov Models: It Takes N>1 to TangoGraham W. Taylor, Geoffrey E. Hinton. 522-529 [doi]
- Measuring Inconsistency in Probabilistic Knowledge BasesMatthias Thimm. 530-537 [doi]
- Computing Posterior Probabilities of Structural Features in Bayesian NetworksJin Tian, Ru He. 538-547 [doi]
- Ordinal Boltzmann Machines for Collaborative FilteringTran The Truyen, Dinh Q. Phung, Svetha Venkatesh. 548-556 [doi]
- Probabilistic Structured PredictorsShankar Vembu, Thomas Gärtner, Mario Boley. 557-564 [doi]
- Which Spatial Partition Trees are Adaptive to Intrinsic Dimension?Nakul Verma, Samory Kpotufe, Sanjoy Dasgupta. 565-574 [doi]
- Temporal-Difference Networks for Dynamical Systems with Continuous Observations and ActionsChristopher M. Vigorito. 575-582 [doi]
- Simulation-Based Game Theoretic Analysis of Keyword Auctions with Low-Dimensional Bidding StrategiesYevgeniy Vorobeychik. 583-590 [doi]
- Exploring compact reinforcement-learning representations with linear regressionThomas J. Walsh, Istvan Szita, Carlos Diuk, Michael L. Littman. 591-598 [doi]
- Herding Dynamic Weights for Partially Observed Random Field ModelsMax Welling. 599-606 [doi]
- The Infinite Latent Events ModelDavid Wingate, Noah D. Goodman, Daniel M. Roy, Joshua B. Tenenbaum. 607-614 [doi]
- A Bayesian Framework for Community Detection Integrating Content and LinkTianbao Yang, Rong Jin, Yun Chi, Shenghuo Zhu. 615-622 [doi]
- The Entire Quantile Path of a Risk-Agnostic SVM ClassifierJin Yu, S. V. N. Vishwanathan, Jian Zhang. 623-630 [doi]
- Most Relevant Explanation: Properties, Algorithms, and EvaluationsChanghe Yuan, Xiaolu Liu, Tsai-Ching Lu, Heejin Lim. 631-638 [doi]
- A Uniqueness Theorem for ClusteringReza Zadeh, Shai Ben-David. 639-646 [doi]
- On the Identifiability of the Post-Nonlinear Causal ModelKun Zhang, Aapo Hyvärinen. 647-655 [doi]