Bayesian Learning

Streaming Variational Bayes NeurIPS 2013 Summary Statistics for Partitionings and Feature Allocations NeurIPS 2013 The Extended Parameter Filter ICML 2013 The Most Generative Maximum Margin Bayesian Networks ICML 2013 Thompson Sampling for 1-Dimensional Exponential Family Bandits NeurIPS 2013 Universal models for binary spike patterns using centered Dirichlet processes NeurIPS 2013 Variational Inference for Mahalanobis Distance Metrics in Gaussian Process Regression NeurIPS 2013 Visual Concept Learning: Combining Machine Vision and Bayesian Generalization on Concept Hierarchies NeurIPS 2013 A Bayesian Approach for Policy Learning from Trajectory Preference Queries NeurIPS 2012 Active Learning of Model Evidence Using Bayesian Quadrature NeurIPS 2012 Affine Independent Variational Inference NeurIPS 2012 Age-Layered Expectation Maximization for Parameter Learning in Bayesian Networks AISTATS 2012 A Marginalized Particle Gaussian Process Regression NeurIPS 2012 A Nonparametric Conjugate Prior Distribution for the Maximizing Argument of a Noisy Function NeurIPS 2012 A nonparametric variable clustering model NeurIPS 2012 Augment-and-Conquer Negative Binomial Processes NeurIPS 2012 Bayesian active learning with localized priors for fast receptive field characterization NeurIPS 2012 Bayesian estimation of discrete entropy with mixtures of stick-breaking priors NeurIPS 2012 Bayesian Hierarchical Reinforcement Learning NeurIPS 2012 Bayesian models for Large-scale Hierarchical Classification NeurIPS 2012 Bayesian Nonparametric Modeling of Suicide Attempts NeurIPS 2012 Bayesian nonparametric models for bipartite graphs NeurIPS 2012 Bayesian nonparametric models for ranked data NeurIPS 2012 Bayesian Pedigree Analysis using Measure Factorization NeurIPS 2012 Bayesian Probabilistic Co-Subspace Addition NeurIPS 2012