variational approximation

Efficient and Flexible Inference for Stochastic Systems NeurIPS 2017 Relationship between PreTraining and Maximum Likelihood Estimation in Deep Boltzmann Machines AISTATS 2016 A Hybrid Approach for Probabilistic Inference using Random Projections ICML 2015 Polya-gamma augmentations for factor models ACML 2014 A Variational Approximation for Topic Modeling of Hierarchical Corpora ICML 2013 Kernelized Bayesian Matrix Factorization ICML 2013 Multi-Prediction Deep Boltzmann Machines NeurIPS 2013 Online Learning of Nonparametric Mixture Models via Sequential Variational Approximation NeurIPS 2013 That was fast! Speeding up NN search of high dimensional distributions. ICML 2013 Affine Independent Variational Inference NeurIPS 2012 Bayesian Pedigree Analysis using Measure Factorization NeurIPS 2012 The Bethe Partition Function of Log-supermodular Graphical Models NeurIPS 2012 Select and Sample - A Model of Efficient Neural Inference and Learning NeurIPS 2011 Variational Gaussian Process Dynamical Systems NeurIPS 2011 Gaussian process regression with Student-t likelihood NeurIPS 2009 Fast Variational Inference for Large-scale Internet Diagnosis NeurIPS 2007 Supervised Topic Models NeurIPS 2007