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The Langevin Monte Carlo algorithm in the non-smooth log-concave case

26 January 2021

Papers citing "The Langevin Monte Carlo algorithm in the non-smooth log-concave case"

22 / 22 papers shown

Title
Efficient Bayesian Computation Using Plug-and-Play Priors for Poisson Inverse Problems Teresa Klatzer Savvas Melidonis Marcelo Pereyra K. Zygalakis 72 0 0 20 Mar 2025
Covariance estimation using Markov chain Monte Carlo Yunbum Kook Matthew Shunshi Zhang 67 1 0 22 Oct 2024
Rényi-infinity constrained sampling with $d^3$ membership queries Yunbum Kook Matthew Shunshi Zhang 68 1 0 17 Jul 2024
In-and-Out: Algorithmic Diffusion for Sampling Convex Bodies Yunbum Kook Santosh Vempala Matthew Shunshi Zhang 82 8 0 02 May 2024
Computational Guarantees for Doubly Entropic Wasserstein Barycenters via Damped Sinkhorn Iterations Lénaïc Chizat Tomas Vaskevicius 50 1 0 25 Jul 2023
Non-Log-Concave and Nonsmooth Sampling via Langevin Monte Carlo Algorithms Tim Tsz-Kit Lau Han Liu Thomas Pock 97 4 0 25 May 2023
NF-ULA: Langevin Monte Carlo with Normalizing Flow Prior for Imaging Inverse Problems Ziruo Cai Junqi Tang Subhadip Mukherjee Jinglai Li Carola Bibiane Schönlieb Xiaoqun Zhang AI4CE 67 4 0 17 Apr 2023
Approximate Primal-Dual Fixed-Point based Langevin Algorithms for Non-smooth Convex Potentials Ziruo Cai Jinglai Li Xiaoqun Zhang 31 1 0 10 Apr 2023
Non-asymptotic analysis of Langevin-type Monte Carlo algorithms Shogo H. Nakakita 86 0 0 22 Mar 2023
Improved dimension dependence of a proximal algorithm for sampling JiaoJiao Fan Bo Yuan Yongxin Chen 81 25 0 20 Feb 2023
Resolving the Mixing Time of the Langevin Algorithm to its Stationary Distribution for Log-Concave Sampling Jason M. Altschuler Kunal Talwar 103 25 0 16 Oct 2022
Nesterov smoothing for sampling without smoothness JiaoJiao Fan Bo Yuan Jiaming Liang Yongxin Chen 89 2 0 15 Aug 2022
Archimedes Meets Privacy: On Privately Estimating Quantiles in High Dimensions Under Minimal Assumptions Omri Ben-Eliezer Dan Mikulincer Ilias Zadik FedML 90 7 0 15 Aug 2022
Bregman Proximal Langevin Monte Carlo via Bregman--Moreau Envelopes Tim Tsz-Kit Lau Han Liu 127 7 0 10 Jul 2022
Convergence of Stein Variational Gradient Descent under a Weaker Smoothness Condition Lukang Sun Avetik G. Karagulyan Peter Richtárik 86 19 0 01 Jun 2022
Constrained Langevin Algorithms with L-mixing External Random Variables Yu Zheng Andrew G. Lamperski 78 6 0 27 May 2022
A Proximal Algorithm for Sampling from Non-convex Potentials Jiaming Liang Yongxin Chen 121 4 0 20 May 2022
A Proximal Algorithm for Sampling Jiaming Liang Yongxin Chen 102 18 0 28 Feb 2022
Heavy-tailed Sampling via Transformed Unadjusted Langevin Algorithm Ye He Krishnakumar Balasubramanian Murat A. Erdogdu 83 5 0 20 Jan 2022
A Proximal Algorithm for Sampling from Non-smooth Potentials Jiaming Liang Yongxin Chen 108 26 0 09 Oct 2021
Fast Scalable Image Restoration using Total Variation Priors and Expectation Propagation D. Yao S. Mclaughlin Y. Altmann 35 6 0 04 Oct 2021
Sqrt(d) Dimension Dependence of Langevin Monte Carlo Ruilin Li H. Zha Molei Tao 94 29 0 08 Sep 2021