Covariance-Controlled Adaptive Langevin Thermostat for Large-Scale Bayesian Sampling

Xiaocheng Shang, Zhanxing Zhu, Benedict Leimkuhler +1

Monte Carlo sampling for Bayesian posterior inference is a common approach used in machine learning. The Markov Chain Monte Carlo procedures that are used are often discrete-time a…