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bayesian learning

185 papers

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Co-occurring keywords

bayesian inference (1904) variational inference (2069) uncertainty quantification (1365) markov chain monte carlo (724) probabilistic modeling (851) posterior distribution (259) gaussian process (1198) transfer learning (5442) reinforcement learning (4122) stochastic gradient (296)

Papers

Learning Latent Variable Models by Pairwise Cluster Comparison ACML 2012
Multilabel Classification using Bayesian Compressed Sensing NIPS 2012
Learning with Target Prior NIPS 2012
Bayesian Probabilistic Co-Subspace Addition NIPS 2012
A Bayesian Analysis of the Radioactive Releases of Fukushima AISTATS 2012
Informative Priors for Markov Blanket Discovery AISTATS 2012
Nonparametric Bayesian Inverse Reinforcement Learning for Multiple Reward Functions NIPS 2012
Bayesian Hierarchical Reinforcement Learning NIPS 2012
EigenNet: A Bayesian hybrid of generative and conditional models for sparse learning NIPS 2011
A Bayesian Approach for Learning and Planning in Partially Observable Markov Decision Processes JMLR 2011
A Model for Temporal Dependencies in Event Streams NIPS 2011
Bayesian Bias Mitigation for Crowdsourcing NIPS 2011
Generalized Beta Mixtures of Gaussians NIPS 2011
Learning mixtures of Gaussians with maximum-a-posteriori oracle AISTATS 2011
Global Solution of Fully-Observed Variational Bayesian Matrix Factorization is Column-Wise Independent NIPS 2011
A Weighted Multi-Sequence Markov Model For Brain Lesion Segmentation AISTATS 2010
Variational methods for Reinforcement Learning AISTATS 2010
Bayesian Learning in Sparse Graphical Factor Models via Variational Mean-Field Annealing JMLR 2010
On Combining Graph-based Variance Reduction schemes AISTATS 2010
PAC-Bayesian Model Selection for Reinforcement Learning NIPS 2010
Optimal Bayesian Recommendation Sets and Myopically Optimal Choice Query Sets NIPS 2010
Covariance in Unsupervised Learning of Probabilistic Grammars JMLR 2010
Python Environment for Bayesian Learning: Inferring the Structure of Bayesian Networks from Knowledge and Data JMLR 2009
Sparse Estimation Using General Likelihoods and Non-Factorial Priors NIPS 2009
Improving on Expectation Propagation NIPS 2008