Sampling Approximately Low-Rank Ising Models: MCMC meets Variational Methods

Frederic Koehler, Holden Lee, Andrej Risteski. Sampling Approximately Low-Rank Ising Models: MCMC meets Variational Methods. In Po-Ling Loh, Maxim Raginsky, editors, Conference on Learning Theory, 2-5 July 2022, London, UK. Volume 178 of Proceedings of Machine Learning Research, pages 4945-4988, PMLR, 2022. [doi]

Abstract

Abstract is missing.