variational inference

Universal models for binary spike patterns using centered Dirichlet processes NeurIPS 2013 Using Symmetry and Evolutionary Search to Minimize Sorting Networks JMLR 2013 Variance Reduction for Stochastic Gradient Optimization NeurIPS 2013 Variational Inference for Mahalanobis Distance Metrics in Gaussian Process Regression NeurIPS 2013 Variational Planning for Graph-based MDPs NeurIPS 2013 Variational Policy Search via Trajectory Optimization NeurIPS 2013 A Better Way to Pretrain Deep Boltzmann Machines NeurIPS 2012 Affine Independent Variational Inference NeurIPS 2012 A Polynomial-time Form of Robust Regression NeurIPS 2012 A Stick-Breaking Likelihood for Categorical Data Analysis with Latent Gaussian Models AISTATS 2012 Bayesian Group Factor Analysis AISTATS 2012 Bayesian models for Large-scale Hierarchical Classification NeurIPS 2012 Bayesian Pedigree Analysis using Measure Factorization NeurIPS 2012 Bayesian Probabilistic Co-Subspace Addition NeurIPS 2012 Bayesian Warped Gaussian Processes NeurIPS 2012 Causal discovery with scale-mixture model for spatiotemporal variance dependencies NeurIPS 2012 Collaborative Gaussian Processes for Preference Learning NeurIPS 2012 Complex Inference in Neural Circuits with Probabilistic Population Codes and Topic Models NeurIPS 2012 Copula Network Classifiers (CNCs) AISTATS 2012 Density Propagation and Improved Bounds on the Partition Function NeurIPS 2012 Dual-Space Analysis of the Sparse Linear Model NeurIPS 2012 Expectation Propagation in Gaussian Process Dynamical Systems NeurIPS 2012 Factorized Asymptotic Bayesian Inference for Mixture Modeling AISTATS 2012 Fast Bayesian Inference for Non-Conjugate Gaussian Process Regression NeurIPS 2012 Fast Variational Bayesian Inference for Non-Conjugate Matrix Factorization Models AISTATS 2012