Table of Contents

• Convex Structure Learning for Bayesian Networks: Polynomial Feature Selection and Approximate OrderingYuhong Guo, Dale Schuurmans. [doi]
• From Influence Diagrams to Multi-operator Cluster DAGsCédric Pralet, Thomas Schiex, Gérard Verfaillie. [doi]
• Matrix Tile AnalysisInmar Givoni, Vincent Cheung, Brendan J. Frey. [doi]
• A Simple Approach for Finding the Globally Optimal Bayesian Network StructureTomi Silander, Petri Myllymäki. [doi]
• The AI&M Procedure for Learning from Incomplete DataManfred Jaeger. [doi]
• A Non-Parametric Bayesian Method for Inferring Hidden CausesFrank Wood, Thomas L. Griffiths, Zoubin Ghahramani. [doi]
• Visualization of Collaborative DataGuobiao Mei, Peter Russo. [doi]
• A Concentration Theorem for ProjectionsSanjoy Dasgupta, Daniel Hsu, Nakul Verma. [doi]
• A Bayesian Probability Calculus for Density MatricesManfred K. Warmuth, Dima Kuzmin. [doi]
• Bayesian Inference for Gaussian Mixed Graph ModelsRicardo Silva, Zoubin Ghahramani. [doi]
• Adjacency-Faithfulness and Conservative Causal InferenceJoseph Ramsey, Jiji Zhang, Peter Spirtes. [doi]
• Optimal Coordinated Planning Amongst Self-Interested Agents with Private StateRuggiero Cavallo, David C. Parkes, Satinder P. Singh. [doi]
• Inference in Hybrid Bayesian Networks Using Mixtures of GaussiansPrakash P. Shenoy. [doi]
• General-Purpose MCMC Inference over Relational StructuresBrian Milch, Stuart J. Russell. [doi]
• An Efficient Triplet-based Algorithm for Evidential ReasoningYaxin Bi, Jiwen Guan. [doi]
• Advances in Exact Bayesian Structure Discovery in Bayesian NetworksMikko Koivisto. [doi]
• Bayesian Random Fields: The Bethe-Laplace ApproximationMax Welling, Sridevi Parise. [doi]
• Sequential Document Representations and Simplicial CurvesGuy Lebanon. [doi]
• Graphical Condition for Identification in recursive SEMCarlos Brito, Judea Pearl. [doi]
• Efficient Selection of Disambiguating Actions for Stereo VisionMonika Schaeffer, Ronald Parr. [doi]
• Incremental Model-based Learners With Formal Learning-Time GuaranteesAlexander L. Strehl, Lihong Li, Michael L. Littman. [doi]
• MAIES: A Tool for DNA Mixture AnalysisRobert G. Cowell, Steffen L. Lauritzen, Julia Mortera. [doi]
• Stratified Analysis of 'Probabilities of Causation'Manabu Kuroki, Zhihong Cai. [doi]
• Methods for Computing State Similarity in Markov Decision ProcessesNorm Ferns, Pablo Samuel Castro, Doina Precup, Prakash Panangaden. [doi]
• Pearl's Calculus of Intervention Is CompleteYimin Huang, Marco Valtorta. [doi]
• Sensitivity Analysis for Threshold Decision Making with Dynamic NetworksTheodore Charitos, Linda C. van der Gaag. [doi]
• Belief Update in CLG Bayesian Networks With Lazy PropagationAndres Madsen. [doi]
• Asymmetric Separation for Local Independence GraphsVanessa Didelez. [doi]
• Linear Algebra Approach to Separable Bayesian NetworksChalee Asavathiratham. [doi]
• Practical Linear Value-approximation Techniques for First-order MDPsScott Sanner, Craig Boutilier. [doi]
• Reasoning about Uncertainty in Metric SpacesSeunghwan Lee. [doi]
• A Bayesian Probability Calculus for Density MatricesManfred K. Warmuth. [doi]
• Structured Priors for Structure LearningVikash K. Mansinghka, Charles Kemp, Thomas L. Griffiths, Joshua B. Tenenbaum. [doi]
• Residual Belief Propagation: Informed Scheduling for Asynchronous Message PassingGal Elidan, Ian McGraw, Daphne Koller. [doi]
• On the Number of Samples Needed to Learn the Correct Structure of a Bayesian NetworkOr Zuk, Shiri Margel, Eytan Domany. [doi]
• Identification of Conditional Interventional DistributionsIlya Shpitser, Judea Pearl. [doi]
• Chi-square Tests Driven Method for Learning the Structure of Factored MDPsThomas Degris, Olivier Sigaud, Pierre-Henri Wuillemin. [doi]
• Direct and Indirect Effects of Sequential TreatmentsVanessa Didelez, A. Philip Dawid, Sara Geneletti. [doi]
• Gibbs Sampling for (Coupled) Infinite Mixture Models in the Stick Breaking RepresentationIan Porteous, Alex Ihter, Padhraic Smyth, Max Welling. [doi]
• Recognizing Activities and Spatial Context Using Wearable SensorsAmar Subramanya, Alvin Raj, Jeff A. Bilmes, Dieter Fox. [doi]
• On the Robustness of Most Probable ExplanationsHei Chan, Adnan Darwiche. [doi]
• Fitting Graphical Interaction Models to Multivariate Time SeriesMichael Eichler. [doi]
• An Empirical Comparison of Algorithms for Aggregating Expert PredictionsVarsha Dani, Omid Madani, David M. Pennock, Sumit K. Sanghai, Brian Galebach. [doi]
• Faster Gaussian Summation: Theory and ExperimentDongryeol Lee, Alexander G. Gray. [doi]
• Robust Learning EquilibriumItai Ashlagi, Moshe Tennenholtz, Dov Monderer. [doi]
• Gene Expression Time Course Clustering with Countably Infinite Hidden Markov ModelsMatthew J. Beal, Praveen Krishnamurthy. [doi]
• A New Axiomatization for Likelihood GamblesPhan Hong Giang. [doi]
• A Variational Approach for Approximating Bayesian Networks by Edge DeletionArthur Choi, Adnan Darwiche. [doi]
• Variable Noise and Dimensionality Reduction for Sparse Gaussian processesEdward Snelson, Zoubin Ghahramani. [doi]
• Predicting Conditional Quantiles via Reduction to ClassificationJohn Langford, Roberto Oliveira, Bianca Zadrozny. [doi]
• Non-Minimal Triangulations for Mixed Stochastic/Deterministic Graphical ModelsChris Bartels, Jeff A. Bilmes. [doi]
• Inequality Constraints in Causal Models with Hidden VariablesChangsung Kang, Jin Tian. [doi]
• A Self-Supervised Terrain Roughness Estimator for Off-Road Autonomous DrivingDavid Stavens, Sebastian Thrun. [doi]
• Ranking by Dependence - A Fair CriteriaHarald Steck. [doi]
• Stochastic Optimal Control in Continuous Space-Time Multi-Agent SystemsWim Wiegerinck, Bart van den Broek, Bert Kappen. [doi]
• Dimension Reduction in Singularly Perturbed Continuous-Time Bayesian NetworksNir Friedman, Raz Kupferman. [doi]
• An Efficient Optimal-Equilibrium Algorithm for Two-player Game TreesMichael L. Littman, Nishkam Ravi, Arjun Talwar, Martin Zinkevich. [doi]
• Axiomatic Foundations for a Class of Generalized Expected Utility: Algebraic Expected UtilityPaul Weng. [doi]
• Identifying the Relevant Nodes Without Learning the ModelJosé M. Peña, Roland Nilsson, Johan Björkegren, Jesper Tegnér. [doi]
• Propagation of Delays in the National Airspace SystemKathryn B. Laskey, Ning Xu, Chun-Hung Chen. [doi]
• Continuous Time Markov NetworksTal El-Hay, Nir Friedman, Daphne Koller, Raz Kupferman. [doi]
• Discriminative Learning via Semidefinite Probabilistic ModelsKoby Crammer, Amir Globerson. [doi]
• Approximate Separability for Weak Interaction in Dynamic SystemsAvi Pfeffer. [doi]
• MCMC for Doubly-intractable DistributionsIain Murray, Zoubin Ghahramani, David J. C. MacKay. [doi]
• A Compact, Hierarchical Q-function DecompositionBhaskara Marthi, Stuart J. Russell, David Andre. [doi]
• Infinite Hidden Relational ModelsZhao Xu, Volker Tresp, Kai Yu, Hans-Peter Kriegel. [doi]
• Cutset Sampling with Likelihood WeightingBozhena Bidyuk, Rina Dechter. [doi]
• Bayesian Multicategory Support Vector MachinesZhihua Zhang, Michael I. Jordan. [doi]
• A Theoretical Study of Y Structures for Causal DiscoverySubramani Mani, Gregory F. Cooper, Peter Spirtes. [doi]