Convergence Rates for Non-Log-Concave Sampling and Log-Partition Estimation

6 March 2023

Papers citing "Convergence Rates for Non-Log-Concave Sampling and Log-Partition Estimation"

10 / 10 papers shown

Title
Asymptotically Optimal Change Detection for Unnormalized Pre- and Post-Change Distributions Arman Adibi Sanjeev R. Kulkarni H. V. Poor T. Banerjee Vahid Tarokh 13 0 0 18 Oct 2024
Zeroth-Order Sampling Methods for Non-Log-Concave Distributions: Alleviating Metastability by Denoising Diffusion Ye He Kevin Rojas Molei Tao DiffM 20 8 0 27 Feb 2024
Kernelized Normalizing Constant Estimation: Bridging Bayesian Quadrature and Bayesian Optimization Xu Cai Jonathan Scarlett 11 0 0 11 Jan 2024
Gibbs-Based Information Criteria and the Over-Parameterized Regime Haobo Chen Yuheng Bu Greg Wornell 14 1 0 08 Jun 2023
When can Regression-Adjusted Control Variates Help? Rare Events, Sobolev Embedding and Minimax Optimality Jose H. Blanchet Haoxuan Chen Yiping Lu Lexing Ying 28 3 0 25 May 2023
Non-Log-Concave and Nonsmooth Sampling via Langevin Monte Carlo Algorithms Tim Tsz-Kit Lau Han Liu T. Pock 21 2 0 25 May 2023
Fisher information lower bounds for sampling Sinho Chewi P. Gerber Holden Lee Chen Lu 22 15 0 05 Oct 2022
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 123 245 0 22 Sep 2022
Faster Convergence of Stochastic Gradient Langevin Dynamics for Non-Log-Concave Sampling Difan Zou Pan Xu Quanquan Gu 24 35 0 19 Oct 2020
Coupling and Convergence for Hamiltonian Monte Carlo Nawaf Bou-Rabee A. Eberle Raphael Zimmer 67 126 0 01 May 2018