collaborators

1 paper

math.PR2020

Dimension-free convergence rates for gradient Langevin dynamics in RKHS

Boris Muzellec, Kanji Sato, Mathurin Massias +1

Gradient Langevin dynamics (GLD) and stochastic GLD (SGLD) have attracted considerable attention lately, as a way to provide convergence guarantees in a non-convex setting. However…