Zeroth-Order Sampling Methods for Non-Log-Concave Distributions:
Alleviating Metastability by Denoising Diffusion

Zeroth-Order Sampling Methods for Non-Log-Concave Distributions: Alleviating Metastability by Denoising Diffusion

27 February 2024

Papers citing "Zeroth-Order Sampling Methods for Non-Log-Concave Distributions: Alleviating Metastability by Denoising Diffusion"

17 / 17 papers shown

Title
Improving the evaluation of samplers on multi-modal targets Louis Grenioux Maxence Noble Marylou Gabrié 313 0 0 11 Apr 2025
Provable Convergence and Limitations of Geometric Tempering for Langevin Dynamics Omar Chehab Anna Korba Austin Stromme Adrien Vacher 87 3 0 13 Oct 2024
Stochastic Localization via Iterative Posterior Sampling Louis Grenioux Maxence Noble Marylou Gabrié Alain Durmus DiffM 53 15 0 16 Feb 2024
Faster Sampling without Isoperimetry via Diffusion-based Monte Carlo Xunpeng Huang Difan Zou Hanze Dong Yian Ma Tong Zhang DiffM 33 12 0 12 Jan 2024
Nearly $d$ -Linear Convergence Bounds for Diffusion Models via Stochastic Localization Joe Benton Valentin De Bortoli Arnaud Doucet George Deligiannidis DiffM 67 107 0 07 Aug 2023
Improved sampling via learned diffusions Lorenz Richter Julius Berner DiffM 54 56 0 03 Jul 2023
Towards Faster Non-Asymptotic Convergence for Diffusion-Based Generative Models Gen Li Yuting Wei Yuxin Chen Yuejie Chi DiffM 53 60 0 15 Jun 2023
A Simple Proof of the Mixing of Metropolis-Adjusted Langevin Algorithm under Smoothness and Isoperimetry Yuansi Chen Khashayar Gatmiry 40 6 0 08 Apr 2023
Improved Bound for Mixing Time of Parallel Tempering Holden Lee Zeyu Shen 88 4 0 03 Apr 2023
Mean-Square Analysis of Discretized Itô Diffusions for Heavy-tailed Sampling Ye He Tyler Farghly Krishnakumar Balasubramanian Murat A. Erdogdu 67 4 0 01 Mar 2023
Convergence of denoising diffusion models under the manifold hypothesis Valentin De Bortoli DiffM 43 161 0 10 Aug 2022
Localization Schemes: A Framework for Proving Mixing Bounds for Markov Chains Yuansi Chen Ronen Eldan 13 79 0 08 Mar 2022
Improved analysis for a proximal algorithm for sampling Yongxin Chen Sinho Chewi Adil Salim Andre Wibisono 58 55 0 13 Feb 2022
Path Integral Sampler: a stochastic control approach for sampling Qinsheng Zhang Yongxin Chen DiffM 52 107 0 30 Nov 2021
A Convergence Theory for SVGD in the Population Limit under Talagrand's Inequality T1 Adil Salim Lukang Sun Peter Richtárik 35 20 0 06 Jun 2021
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 236 6,293 0 26 Nov 2020
Stein Variational Gradient Descent as Gradient Flow Qiang Liu OT 52 274 0 25 Apr 2017