Non-Log-Concave and Nonsmooth Sampling via Langevin Monte Carlo Algorithms

25 May 2023

Papers citing "Non-Log-Concave and Nonsmooth Sampling via Langevin Monte Carlo Algorithms"

12 / 12 papers shown

Title
Efficient Sampling on Riemannian Manifolds via Langevin MCMC Xiang Cheng J. Zhang S. Sra 39 7 0 15 Feb 2024
Towards a Complete Analysis of Langevin Monte Carlo: Beyond Poincaré Inequality Alireza Mousavi-Hosseini Tyler Farghly Ye He Krishnakumar Balasubramanian Murat A. Erdogdu 35 25 0 07 Mar 2023
Convergence Rates for Non-Log-Concave Sampling and Log-Partition Estimation David Holzmüller Francis R. Bach 21 8 0 06 Mar 2023
Learning Gaussian Mixtures Using the Wasserstein-Fisher-Rao Gradient Flow Yuling Yan Kaizheng Wang Philippe Rigollet 36 20 0 04 Jan 2023
Bregman Proximal Langevin Monte Carlo via Bregman--Moreau Envelopes Tim Tsz-Kit Lau Han Liu 45 7 0 10 Jul 2022
Minimax Mixing Time of the Metropolis-Adjusted Langevin Algorithm for Log-Concave Sampling Keru Wu S. Schmidler Yuansi Chen 34 50 0 27 Sep 2021
The Mirror Langevin Algorithm Converges with Vanishing Bias Ruilin Li Molei Tao Santosh Vempala Andre Wibisono 37 35 0 24 Sep 2021
Mixing Time Guarantees for Unadjusted Hamiltonian Monte Carlo Nawaf Bou-Rabee A. Eberle 53 29 0 03 May 2021
A Contour Stochastic Gradient Langevin Dynamics Algorithm for Simulations of Multi-modal Distributions Wei Deng Guang Lin F. Liang BDL 34 27 0 19 Oct 2020
Coupling and Convergence for Hamiltonian Monte Carlo Nawaf Bou-Rabee A. Eberle Raphael Zimmer 73 135 0 01 May 2018
The Zig-Zag Process and Super-Efficient Sampling for Bayesian Analysis of Big Data J. Bierkens Paul Fearnhead Gareth O. Roberts 53 232 0 11 Jul 2016
MCMC using Hamiltonian dynamics Radford M. Neal 132 3,263 0 09 Jun 2012