Xiaocheng Shang

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

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 analogues of associated stochastic differential equations (SDEs). These SDEs are guaranteed to leave invariant the requir…