Faster high-accuracy log-concave sampling via algorithmic warm starts

20 February 2023

Papers citing "Faster high-accuracy log-concave sampling via algorithmic warm starts"

12 / 12 papers shown

Title
Operator-Level Quantum Acceleration of Non-Logconcave Sampling Jiaqi Leng Zhiyan Ding Zherui Chen Lin Lin 62 0 0 08 May 2025
Conditionally Strongly Log-Concave Generative Models Florentin Guth Etienne Lempereur Joan Bruna S. Mallat 45 3 0 31 May 2023
When does Metropolized Hamiltonian Monte Carlo provably outperform Metropolis-adjusted Langevin algorithm? Yuansi Chen Khashayar Gatmiry 99 15 0 10 Apr 2023
A Simple Proof of the Mixing of Metropolis-Adjusted Langevin Algorithm under Smoothness and Isoperimetry Yuansi Chen Khashayar Gatmiry 16 6 0 08 Apr 2023
Query lower bounds for log-concave sampling Sinho Chewi Jaume de Dios Pont Jerry Li Chen Lu Shyam Narayanan 32 8 0 05 Apr 2023
Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions Sitan Chen Sinho Chewi Jungshian Li Yuanzhi Li Adil Salim Anru R. Zhang DiffM 135 247 0 22 Sep 2022
A Proximal Algorithm for Sampling from Non-convex Potentials Jiaming Liang Yongxin Chen 33 4 0 20 May 2022
Private Convex Optimization via Exponential Mechanism Sivakanth Gopi Y. Lee Daogao Liu 83 52 0 01 Mar 2022
Minimax Mixing Time of the Metropolis-Adjusted Langevin Algorithm for Log-Concave Sampling Keru Wu S. Schmidler Yuansi Chen 39 50 0 27 Sep 2021
Convergence of Langevin Monte Carlo in Chi-Squared and Renyi Divergence Murat A. Erdogdu Rasa Hosseinzadeh Matthew Shunshi Zhang 86 41 0 22 Jul 2020
The Zig-Zag Process and Super-Efficient Sampling for Bayesian Analysis of Big Data J. Bierkens Paul Fearnhead Gareth O. Roberts 58 231 0 11 Jul 2016
MCMC using Hamiltonian dynamics Radford M. Neal 185 3,266 0 09 Jun 2012