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A connection between Tempering and Entropic Mirror Descent
March 5, 2024, 2:46 p.m. | Nicolas Chopin, Francesca R. Crucinio, Anna Korba
stat.ML updates on arXiv.org arxiv.org
Abstract: This paper explores the connections between tempering (for Sequential Monte Carlo; SMC) and entropic mirror descent to sample from a target probability distribution whose unnormalized density is known. We establish that tempering SMC corresponds to entropic mirror descent applied to the reverse Kullback-Leibler (KL) divergence and obtain convergence rates for the tempering iterates. Our result motivates the tempering iterates from an optimization point of view, showing that tempering can be seen as a descent scheme …
abstract arxiv distribution divergence math.oc math.st paper probability sample stat.co stat.ml stat.th type
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