Simulated Tempering Langevin Monte Carlo II: An Improved Proof using
Soft Markov Chain Decomposition

Simulated Tempering Langevin Monte Carlo II: An Improved Proof using Soft Markov Chain Decomposition

29 November 2018

Andrej Risteski

Papers citing "Simulated Tempering Langevin Monte Carlo II: An Improved Proof using Soft Markov Chain Decomposition"

8 / 8 papers shown

Title
Restricted Spectral Gap Decomposition for Simulated Tempering Targeting Mixture Distributions Jhanvi Garg Krishna Balasubramanian Quan Zhou 31 0 0 21 May 2025
Enhancing Gradient-based Discrete Sampling via Parallel Tempering Luxu Liang Yuhang Jia Feng Zhou 69 0 0 26 Feb 2025
Provable Convergence and Limitations of Geometric Tempering for Langevin Dynamics Omar Chehab Anna Korba Austin Stromme Adrien Vacher 66 3 0 13 Oct 2024
Proposal of a Score Based Approach to Sampling Using Monte Carlo Estimation of Score and Oracle Access to Target Density Curtis McDonald Andrew R. Barron DiffM 48 3 0 06 Dec 2022
Perfect Sampling from Pairwise Comparisons Dimitris Fotakis Alkis Kalavasis Christos Tzamos 31 3 0 23 Nov 2022
Sampling Approximately Low-Rank Ising Models: MCMC meets Variational Methods Frederic Koehler Holden Lee Andrej Risteski 42 22 0 17 Feb 2022
Spectral Gap of Replica Exchange Langevin Diffusion on Mixture Distributions Jing-rong Dong Xin T. Tong 32 10 0 29 Jun 2020
On the Convergence of Langevin Monte Carlo: The Interplay between Tail Growth and Smoothness Murat A. Erdogdu Rasa Hosseinzadeh 26 75 0 27 May 2020