Bayesian Learning

Learning invariant features using the Transformed Indian Buffet Process NeurIPS 2010 Learning sparse dynamic linear systems using stable spline kernels and exponential hyperpriors NeurIPS 2010 Learning the context of a category NeurIPS 2010 Matrix-Variate Dirichlet Process Mixture Models AISTATS 2010 Near-Optimal Bayesian Active Learning with Noisy Observations NeurIPS 2010 Nonparametric Bayesian Policy Priors for Reinforcement Learning NeurIPS 2010 Optimal Bayesian Recommendation Sets and Myopically Optimal Choice Query Sets NeurIPS 2010 Optimal Search on Clustered Structural Constraint for Learning Bayesian Network Structure JMLR 2010 PAC-Bayesian Model Selection for Reinforcement Learning NeurIPS 2010 PLISS: Detecting and Labeling Places Using Online Change-Point Detection RSS 2010 Probabilistic Deterministic Infinite Automata NeurIPS 2010 Probabilistic Inference and Differential Privacy NeurIPS 2010 Probabilistic latent variable models for distinguishing between cause and effect NeurIPS 2010 Real-time Multiattribute Bayesian Preference Elicitation with Pairwise Comparison Queries AISTATS 2010 Shadow Dirichlet for Restricted Probability Modeling NeurIPS 2010 Slice sampling covariance hyperparameters of latent Gaussian models NeurIPS 2010 Supervised Dimension Reduction Using Bayesian Mixture Modeling AISTATS 2010 Switching state space model for simultaneously estimating state transitions and nonstationary firing rates NeurIPS 2010 Synergies in learning words and their referents NeurIPS 2010 Tree-Structured Stick Breaking for Hierarchical Data NeurIPS 2010 A Bayesian Analysis of Dynamics in Free Recall NeurIPS 2009 A Bayesian Model for Simultaneous Image Clustering, Annotation and Object Segmentation NeurIPS 2009 Abstraction and Relational learning NeurIPS 2009 Accelerating Bayesian Structural Inference for Non-Decomposable Gaussian Graphical Models NeurIPS 2009 An Infinite Factor Model Hierarchy Via a Noisy-Or Mechanism NeurIPS 2009