Langevin Markov Chain Monte Carlo with stochastic gradients

Charles Matthews, Jonathan Weare

Monte Carlo sampling techniques have broad applications in machine learning, Bayesian posterior inference, and parameter estimation. Often the target distribution takes the form of…