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Found 3 papers, 2 papers with code
Stochastic Approximation with Biased MCMC for Expectation Maximization
In practice, MCMC-SAEM is often run with asymptotically biased MCMC, for which the consequences are theoretically less understood.
Stochastic Localization via Iterative Posterior Sampling
Building upon score-based learning, new interest in stochastic localization techniques has recently emerged.
Asymptotic bias of inexact Markov Chain Monte Carlo methods in high dimension
Inexact Markov Chain Monte Carlo methods rely on Markov chains that do not exactly preserve the target distribution.
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