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mean field approximation

12 papers

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Co-occurring keywords

variational inference (2069) ising model (85) mean field (27) markov chain monte carlo (724) posterior distribution (259) gaussian process (1198) nash equilibrium (396) sequential monte carlo (90) loopy belief propagation (19) gibbs sampling (201)

Papers

The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks ICML 2020
Bayesian Multi-type Mean Field Multi-agent Imitation Learning NIPS 2020
How to Initialize your Network? Robust Initialization for WeightNorm & ResNets NIPS 2019
Adaptive Rao-Blackwellisation in Gibbs Sampling for Probabilistic Graphical Models AISTATS 2019
The Mean-Field Approximation: Information Inequalities, Algorithms, and Complexity COLT 2018
Mean Field Multi-Agent Reinforcement Learning ICML 2018
Clamping Improves TRW and Mean Field Approximations AISTATS 2016
Dense Semantic Image Segmentation with Objects and Attributes CVPR 2014
Approximate inference in continuous time Gaussian-Jump processes NIPS 2010
Mean Field Variational Approximation for Continuous-Time Bayesian Networks JMLR 2010
Variational inference for Markov jump processes NIPS 2007
Conditional mean field NIPS 2006