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mcmc methods

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bayesian inference (3) markov random field (2) mcmc sampling (2) markov chain monte carlo (2) variational inference (2) hamiltonian dynamics (1) microbiome data (1) elbo estimation (1) maximum likelihood learning (1) evidence estimation (1)

Papers

MixFlows: principled variational inference via mixed flows ICML 2023 Bayesian Multinomial Logistic Normal Models through Marginally Latent Matrix-T Processes JMLR 2022 Semi-Separable Hamiltonian Monte Carlo for Inference in Bayesian Hierarchical Models NeurIPS 2014 Evidence Estimation for Bayesian Partially Observed MRFs AISTATS 2013 Learning in Markov Random Fields using Tempered Transitions NeurIPS 2009