Simulated Tempering Langevin Monte Carlo II: An Improved Proof using Soft Markov Chain Decomposition

29 Nov 2018Rong GeHolden LeeAndrej Risteski

A key task in Bayesian machine learning is sampling from distributions that are only specified up to a partition function (i.e., constant of proportionality). One prevalent example of this is sampling posteriors in parametric distributions, such as latent-variable generative models... (read more)

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