Beyond Log-concavity: Provable Guarantees for Sampling Multi-modal Distributions using Simulated Tempering Langevin Monte Carlo

Holden Lee, Andrej Risteski, Rong Ge

Nov-20-2025, 19:57:28 GMT–Neural Information Processing Systems 

A key task in Bayesian machine learning is sampling from distributions that are only specified up to a partition function (i.e., constant of proportionality).