posterior approximation

Operator Variational Inference NeurIPS 2016 Select-and-Sample for Spike-and-Slab Sparse Coding NeurIPS 2016 Variational Gaussian Copula Inference AISTATS 2016 A trust-region method for stochastic variational inference with applications to streaming data ICML 2015 Bounding errors of Expectation-Propagation NeurIPS 2015 Copula variational inference NeurIPS 2015 Linear Response Methods for Accurate Covariance Estimates from Mean Field Variational Bayes NeurIPS 2015 Markov Chain Monte Carlo and Variational Inference: Bridging the Gap ICML 2015 MCMC for Variationally Sparse Gaussian Processes NeurIPS 2015 Scalable Variational Gaussian Process Classification AISTATS 2015 Stochastic Expectation Propagation NeurIPS 2015 Stochastic Structured Variational Inference AISTATS 2015 Variational Consensus Monte Carlo NeurIPS 2015 Accelerating ABC methods using Gaussian processes AISTATS 2014 Efficient Continuous-Time Markov Chain Estimation ICML 2014 Expectation Backpropagation: Parameter-Free Training of Multilayer Neural Networks with Continuous or Discrete Weights NeurIPS 2014 Fully Simplified Multivariate Normal Updates in Non-Conjugate Variational Message Passing JMLR 2014 An Adaptive Learning Rate for Stochastic Variational Inference ICML 2013 Efficient Variational Inference for Gaussian Process Regression Networks AISTATS 2013 Streaming Variational Bayes NeurIPS 2013 Dual-Space Analysis of the Sparse Linear Model NeurIPS 2012 Variational Bayesian Matching ACML 2012 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 Bayesian Source Localization with the Multivariate Laplace Prior NeurIPS 2009