Stochastic Gradient Hamiltonian Monte Carlo with Variance Reduction for Bayesian Inference

Zhize Li, Tianyi Zhang, Shuyu Cheng +2

Gradient-based Monte Carlo sampling algorithms, like Langevin dynamics and Hamiltonian Monte Carlo, are important methods for Bayesian inference. In large-scale settings, full-grad…