A Langevin sampling algorithm inspired by the Adam optimizer

Benedict Leimkuhler, René Lohmann, Peter Whalley

We present a framework for adaptive-stepsize MCMC sampling based on time-rescaled Langevin dynamics, in which the stepsize variation is dynamically driven by an additional degree o…