variational bayesian

Perfect Dimensionality Recovery by Variational Bayesian PCA NeurIPS 2012 Probabilistic Low-Rank Subspace Clustering NeurIPS 2012 Variational Bayesian Optimization for Runtime Risk-Sensitive Control RSS 2012 Global Solution of Fully-Observed Variational Bayesian Matrix Factorization is Column-Wise Independent NeurIPS 2011 Classification with Incomplete Data Using Dirichlet Process Priors JMLR 2010 Global Analytic Solution for Variational Bayesian Matrix Factorization NeurIPS 2010 A Bayesian Model for Simultaneous Image Clustering, Annotation and Object Segmentation NeurIPS 2009 Non-Parametric Bayesian Dictionary Learning for Sparse Image Representations NeurIPS 2009 Parallel Inference for Latent Dirichlet Allocation on Graphics Processing Units NeurIPS 2009 Variational Gaussian-process factor analysis for modeling spatio-temporal data NeurIPS 2009 Variational Mixture of Gaussian Process Experts NeurIPS 2008 Accelerated Variational Dirichlet Process Mixtures NeurIPS 2006 A Collapsed Variational Bayesian Inference Algorithm for Latent Dirichlet Allocation NeurIPS 2006 Parameter Expanded Variational Bayesian Methods NeurIPS 2006 Stochastic Complexities of Gaussian Mixtures in Variational Bayesian Approximation JMLR 2006 Unified Inference for Variational Bayesian Linear Gaussian State-Space Models NeurIPS 2006