Wanjie Lyu

A Unified Framework for Wasserstein Convergence of ULMC Methods beyond Log-Concavity: Old and New

As a fundamental task across computational statistics, scientific computing and machine learning, sampling from high-dimensional probability distributions has received increasing attention in recent years. Numerous sampling algorithms have been proposed, among which underdamped Langevin Monte Carlo (ULMC) methods based...