mean-field approximation

Deep Fully-Connected Part-Based Models for Human Pose Estimation ACML 2018 Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam ICML 2018 Mean Field Multi-Agent Reinforcement Learning ICML 2018 On Statistical Optimality of Variational Bayes AISTATS 2018 The Mean-Field Approximation: Information Inequalities, Algorithms, and Complexity COLT 2018 Collisions as Information Sources in Densely Packed Multi-Robot Systems Under Mean-Field Approximations RSS 2017 Clamping Improves TRW and Mean Field Approximations AISTATS 2016 Maximizing Influence in an Ising Network: A Mean-Field Optimal Solution NeurIPS 2016 Copula variational inference NeurIPS 2015 Stochastic Structured Variational Inference AISTATS 2015 Training Restricted Boltzmann Machine via the Thouless-Anderson-Palmer free energy NeurIPS 2015 Dense Semantic Image Segmentation with Objects and Attributes CVPR 2014 Expectation Backpropagation: Parameter-Free Training of Multilayer Neural Networks with Continuous or Discrete Weights NeurIPS 2014 Integrated Non-Factorized Variational Inference NeurIPS 2013 Density Propagation and Improved Bounds on the Partition Function NeurIPS 2012 Fast Variational Inference in the Conjugate Exponential Family NeurIPS 2012 Multi-Label Output Codes using Canonical Correlation Analysis AISTATS 2011 Approximate inference in continuous time Gaussian-Jump processes NeurIPS 2010 Mean Field Variational Approximation for Continuous-Time Bayesian Networks JMLR 2010 A Convex Upper Bound on the Log-Partition Function for Binary Distributions NeurIPS 2008 Fast Variational Inference for Large-scale Internet Diagnosis NeurIPS 2007 Loop Series and Bethe Variational Bounds in Attractive Graphical Models NeurIPS 2007 Variational inference for Markov jump processes NeurIPS 2007 Conditional mean field NeurIPS 2006