Stochastic Approximation with Biased MCMC for Expectation Maximization.

Samuel Gruffaz Kyurae Kim Alain Oliviero Durmus Jacob R. Gardner

Published in: CoRR (2024)

Keyphrases

stochastic approximation
expectation maximization
monte carlo
em algorithm
generative model
markov chain monte carlo
posterior distribution
parameter estimation
markov chain
probabilistic model
mixture model
maximum likelihood
maximum a posteriori
bayesian framework
image segmentation
support vector