bayesian learning

A Weighted Multi-Sequence Markov Model For Brain Lesion Segmentation AISTATS 2010 Bayesian Learning in Sparse Graphical Factor Models via Variational Mean-Field Annealing JMLR 2010 Covariance in Unsupervised Learning of Probabilistic Grammars JMLR 2010 On Combining Graph-based Variance Reduction schemes AISTATS 2010 Optimal Bayesian Recommendation Sets and Myopically Optimal Choice Query Sets NeurIPS 2010 PAC-Bayesian Model Selection for Reinforcement Learning NeurIPS 2010 Variational methods for Reinforcement Learning AISTATS 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 NeurIPS 2009 Bayesian Kernel Shaping for Learning Control NeurIPS 2008 Bayesian Model of Behaviour in Economic Games NeurIPS 2008 Improving on Expectation Propagation NeurIPS 2008 A Bayesian LDA-based model for semi-supervised part-of-speech tagging NeurIPS 2007 Probabilistic Matrix Factorization NeurIPS 2007 Transfer Learning using Kolmogorov Complexity: Basic Theory and Empirical Evaluations NeurIPS 2007 Context Effects in Category Learning: An Investigation of Four Probabilistic Models NeurIPS 2006 Dirichlet-Enhanced Spam Filtering based on Biased Samples NeurIPS 2006 Learning Structural Equation Models for fMRI NeurIPS 2006 Learning to be Bayesian without Supervision NeurIPS 2006 Unified Inference for Variational Bayesian Linear Gaussian State-Space Models NeurIPS 2006