bayesian learning

Bayes-Optimal Scorers for Bipartite Ranking COLT 2014 Distributed Stochastic Gradient MCMC ICML 2014 Information-based learning by agents in unbounded state spaces NeurIPS 2014 Neurons as Monte Carlo Samplers: Bayesian Inference and Learning in Spiking Networks NeurIPS 2014 Bayesian Robust Matrix Factorization for Image and Video Processing ICCV 2013 Differentially Private Learning with Kernels ICML 2013 Forgetful Bayes and myopic planning: Human learning and decision-making in a bandit setting NeurIPS 2013 Global Solver and Its Efficient Approximation for Variational Bayesian Low-rank Subspace Clustering NeurIPS 2013 Machine Teaching for Bayesian Learners in the Exponential Family NeurIPS 2013 A Bayesian Analysis of the Radioactive Releases of Fukushima AISTATS 2012 Bayesian Hierarchical Reinforcement Learning NeurIPS 2012 Bayesian models for Large-scale Hierarchical Classification NeurIPS 2012 Bayesian Probabilistic Co-Subspace Addition NeurIPS 2012 Informative Priors for Markov Blanket Discovery AISTATS 2012 Learning Latent Variable Models by Pairwise Cluster Comparison ACML 2012 Learning with Target Prior NeurIPS 2012 Multilabel Classification using Bayesian Compressed Sensing NeurIPS 2012 Nonparametric Bayesian Inverse Reinforcement Learning for Multiple Reward Functions NeurIPS 2012 A Bayesian Approach for Learning and Planning in Partially Observable Markov Decision Processes JMLR 2011 A Model for Temporal Dependencies in Event Streams NeurIPS 2011 Bayesian Bias Mitigation for Crowdsourcing NeurIPS 2011 EigenNet: A Bayesian hybrid of generative and conditional models for sparse learning NeurIPS 2011 Generalized Beta Mixtures of Gaussians NeurIPS 2011 Global Solution of Fully-Observed Variational Bayesian Matrix Factorization is Column-Wise Independent NeurIPS 2011 Learning mixtures of Gaussians with maximum-a-posteriori oracle AISTATS 2011