Coin Sampling: Gradient-Based Bayesian Inference without Learning Rates

Louis Sharrock, Christopher Nemeth

Abstract: In recent years, particle-based variational inference (ParVI) methods such as Stein variational gradient descent (SVGD) have grown in popularity as scalable methods for Bayesian inference. Unfortun...