Unbiased Kinetic Langevin Monte Carlo with Inexact Gradients

Neil K. Chada, Benedict Leimkuhler, Daniel Paulin +1

We present an unbiased method for Bayesian posterior means based on kinetic Langevin dynamics that combines advanced splitting methods with enhanced gradient approximations. Our ap…