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MetFlow: A New Efficient Method for Bridging the Gap between Markov Chain Monte Carlo and Variational Inference.
Achille Thin
Nikita Kotelevskii
Jean-Stanislas Denain
Leo Grinsztajn
Alain Durmus
Maxim Panov
Eric Moulines
Published in:
CoRR (2020)
Keyphrases
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markov chain monte carlo
bayesian inference
pairwise
parameter estimation
probabilistic model
posterior distribution
dynamic programming
sample size
cross validation
monte carlo
closed form
gaussian process