Variational Inference

Learning to Pass Expectation Propagation Messages NeurIPS 2013 Memoized Online Variational Inference for Dirichlet Process Mixture Models NeurIPS 2013 Multi-Prediction Deep Boltzmann Machines NeurIPS 2013 Online Learning of Nonparametric Mixture Models via Sequential Variational Approximation NeurIPS 2013 Online Variational Approximations to non-Exponential Family Change Point Models: With Application to Radar Tracking NeurIPS 2013 Relevance Topic Model for Unstructured Social Group Activity Recognition NeurIPS 2013 Streaming Variational Bayes NeurIPS 2013 Variational Inference for Mahalanobis Distance Metrics in Gaussian Process Regression NeurIPS 2013 Variational Policy Search via Trajectory Optimization NeurIPS 2013 Bayesian models for Large-scale Hierarchical Classification NeurIPS 2012 Complex Inference in Neural Circuits with Probabilistic Population Codes and Topic Models NeurIPS 2012 Fast Variational Inference in the Conjugate Exponential Family NeurIPS 2012 Homeostatic plasticity in Bayesian spiking networks as Expectation Maximization with posterior constraints NeurIPS 2012 Minimization of Continuous Bethe Approximations: A Positive Variation NeurIPS 2012 Perfect Dimensionality Recovery by Variational Bayesian PCA NeurIPS 2012 The variational hierarchical EM algorithm for clustering hidden Markov models NeurIPS 2012 Truly Nonparametric Online Variational Inference for Hierarchical Dirichlet Processes NeurIPS 2012 Facial Expression Transfer with Input-Output Temporal Restricted Boltzmann Machines NeurIPS 2011 Global Solution of Fully-Observed Variational Bayesian Matrix Factorization is Column-Wise Independent NeurIPS 2011 Non-conjugate Variational Message Passing for Multinomial and Binary Regression NeurIPS 2011 Practical Variational Inference for Neural Networks NeurIPS 2011 Select and Sample - A Model of Efficient Neural Inference and Learning NeurIPS 2011 t-divergence Based Approximate Inference NeurIPS 2011 Variational Learning for Recurrent Spiking Networks NeurIPS 2011 Approximate inference in continuous time Gaussian-Jump processes NeurIPS 2010