posterior distribution

Collective Graphical Models NeurIPS 2011 Global Solution of Fully-Observed Variational Bayesian Matrix Factorization is Column-Wise Independent NeurIPS 2011 Select and Sample - A Model of Efficient Neural Inference and Learning NeurIPS 2011 Theoretical Analysis of Bayesian Matrix Factorization JMLR 2011 A generalization of the Multiple-try Metropolis algorithm for Bayesian estimation and model selection AISTATS 2010 Posterior distributions are computable from predictive distributions AISTATS 2010 Probabilistic Inference and Differential Privacy NeurIPS 2010 A Parameter-Free Classification Method for Large Scale Learning JMLR 2009 Bayesian estimation of orientation preference maps NeurIPS 2009 Perceptual Multistability as Markov Chain Monte Carlo Inference NeurIPS 2009 Efficient Sampling for Gaussian Process Inference using Control Variables NeurIPS 2008 Optimal Response Initiation: Why Recent Experience Matters NeurIPS 2008 The Gaussian Process Density Sampler NeurIPS 2008 Theory and Dynamics of Perceptual Bistability NeurIPS 2006