variational inference

Stochastic Backpropagation and Approximate Inference in Deep Generative Models ICML 2014 Stochastic variational inference for hidden Markov models NeurIPS 2014 Tilted Variational Bayes AISTATS 2014 Tree-structured Gaussian Process Approximations NeurIPS 2014 Variational Gaussian Inference for Bilinear Models of Count Data ACML 2014 Variational Gaussian Process State-Space Models NeurIPS 2014 Variational Inference for Sequential Distance Dependent Chinese Restaurant Process ICML 2014 Von Mises-Fisher Clustering Models ICML 2014 Approximate Gaussian process inference for the drift function in stochastic differential equations NeurIPS 2013 Approximate Inference in Continuous Determinantal Processes NeurIPS 2013 Approximate inference in latent Gaussian-Markov models from continuous time observations NeurIPS 2013 A Variational Approximation for Topic Modeling of Hierarchical Corpora ICML 2013 Bayesian Canonical Correlation Analysis JMLR 2013 Collapsed Variational Bayesian Inference for Hidden Markov Models AISTATS 2013 Deep Gaussian Processes AISTATS 2013 Demixing odors - fast inference in olfaction NeurIPS 2013 Dense Variational Reconstruction of Non-rigid Surfaces from Monocular Video CVPR 2013 Discrete MRF Inference of Marginal Densities for Non-uniformly Discretized Variable Space CVPR 2013 EDML for Learning Parameters in Directed and Undirected Graphical Models NeurIPS 2013 Efficient Online Inference for Bayesian Nonparametric Relational Models NeurIPS 2013 Efficient Optimization for Sparse Gaussian Process Regression NeurIPS 2013 Efficient Variational Inference for Gaussian Process Regression Networks AISTATS 2013 Factorized Asymptotic Bayesian Inference for Latent Feature Models NeurIPS 2013 Fast Dual Variational Inference for Non-Conjugate Latent Gaussian Models ICML 2013 Gaussian Kullback-Leibler Approximate Inference JMLR 2013