Faster Sampling via Stochastic Gradient Proximal Sampler

Faster Sampling via Stochastic Gradient Proximal Sampler

27 May 2024

Tong Zhang

Papers citing "Faster Sampling via Stochastic Gradient Proximal Sampler"

13 / 13 papers shown

Title
Faster Sampling without Isoperimetry via Diffusion-based Monte Carlo Xunpeng Huang Difan Zou Hanze Dong Yian Ma Tong Zhang DiffM 50 12 0 12 Jan 2024
Faster high-accuracy log-concave sampling via algorithmic warm starts Jason M. Altschuler Sinho Chewi 76 35 0 20 Feb 2023
Improved analysis for a proximal algorithm for sampling Yongxin Chen Sinho Chewi Adil Salim Andre Wibisono 94 57 0 13 Feb 2022
A Proximal Algorithm for Sampling from Non-smooth Potentials Jiaming Liang Yongxin Chen 81 26 0 09 Oct 2021
Structured Logconcave Sampling with a Restricted Gaussian Oracle Y. Lee Ruoqi Shen Kevin Tian 53 70 0 07 Oct 2020
High-Order Langevin Diffusion Yields an Accelerated MCMC Algorithm Wenlong Mou Yian Ma Martin J. Wainwright Peter L. Bartlett Michael I. Jordan DiffM 45 85 0 28 Aug 2019
Optimal Convergence Rate of Hamiltonian Monte Carlo for Strongly Logconcave Distributions Zongchen Chen Santosh Vempala 64 65 0 07 May 2019
Rapid Convergence of the Unadjusted Langevin Algorithm: Isoperimetry Suffices Santosh Vempala Andre Wibisono 79 264 0 20 Mar 2019
Non-convex learning via Stochastic Gradient Langevin Dynamics: a nonasymptotic analysis Maxim Raginsky Alexander Rakhlin Matus Telgarsky 70 521 0 13 Feb 2017
Stochastic Gradient Hamiltonian Monte Carlo Tianqi Chen E. Fox Carlos Guestrin BDL 106 910 0 17 Feb 2014
Stochastic First- and Zeroth-order Methods for Nonconvex Stochastic Programming Saeed Ghadimi Guanghui Lan ODL 120 1,549 0 22 Sep 2013
Langevin diffusions and the Metropolis-adjusted Langevin algorithm Tatiana Xifara Chris Sherlock Samuel Livingstone Simon Byrne Mark Girolami 82 126 0 11 Sep 2013
MCMC using Hamiltonian dynamics Radford M. Neal 290 3,281 0 09 Jun 2012