variational inference

The Population Posterior and Bayesian Modeling on Streams NeurIPS 2015 Variational Consensus Monte Carlo NeurIPS 2015 Variational Depth Superresolution Using Example-Based Edge Representations ICCV 2015 Variational Dropout and the Local Reparameterization Trick NeurIPS 2015 Variational Inference for Gaussian Process Modulated Poisson Processes ICML 2015 Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning NeurIPS 2015 Weight Uncertainty in Neural Network ICML 2015 A Bayesian model for identifying hierarchically organised states in neural population activity NeurIPS 2014 A Complete Variational Tracker NeurIPS 2014 A Filtering Approach to Stochastic Variational Inference NeurIPS 2014 Analysis of Brain States from Multi-Region LFP Time-Series NeurIPS 2014 Analysis of Empirical MAP and Empirical Partially Bayes: Can They be Alternatives to Variational Bayes? AISTATS 2014 Analysis of Variational Bayesian Latent Dirichlet Allocation: Weaker Sparsity Than MAP NeurIPS 2014 A Novel Chamfer Template Matching Method Using Variational Mean Field CVPR 2014 A Truncated EM Approach for Spike-and-Slab Sparse Coding JMLR 2014 Automated Variational Inference for Gaussian Process Models NeurIPS 2014 Bayesian Nonparametric Comorbidity Analysis of Psychiatric Disorders JMLR 2014 Bayesian Nonparametric Poisson Factorization for Recommendation Systems AISTATS 2014 Beta Process Multiple Kernel Learning CVPR 2014 Black Box Variational Inference AISTATS 2014 Clamping Variables and Approximate Inference NeurIPS 2014 Clustered factor analysis of multineuronal spike data NeurIPS 2014 Clustering Hidden Markov Models with Variational HEM JMLR 2014 Concavity of reweighted Kikuchi approximation NeurIPS 2014 Content-based recommendations with Poisson factorization NeurIPS 2014