Improved Bounds for Discretization of Langevin Diffusions: Near-Optimal Rates without Convexity

25 July 2019

Papers citing "Improved Bounds for Discretization of Langevin Diffusions: Near-Optimal Rates without Convexity"

10 / 10 papers shown

Title
Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based Models Daniela de Albuquerque John Pearson DiffM 89 0 0 03 Jan 2025
Estimating Normalizing Constants for Log-Concave Distributions: Algorithms and Lower Bounds Rong Ge Holden Lee Jianfeng Lu 45 22 0 08 Nov 2019
Bounding the error of discretized Langevin algorithms for non-strongly log-concave targets A. Dalalyan Avetik G. Karagulyan L. Riou-Durand 51 38 0 20 Jun 2019
Rapid Convergence of the Unadjusted Langevin Algorithm: Isoperimetry Suffices Santosh Vempala Andre Wibisono 79 264 0 20 Mar 2019
Local Optimality and Generalization Guarantees for the Langevin Algorithm via Empirical Metastability Belinda Tzen Tengyuan Liang Maxim Raginsky 40 32 0 18 Feb 2018
Beyond Log-concavity: Provable Guarantees for Sampling Multi-modal Distributions using Simulated Tempering Langevin Monte Carlo Rong Ge Holden Lee Andrej Risteski 64 53 0 07 Oct 2017
Non-convex learning via Stochastic Gradient Langevin Dynamics: a nonasymptotic analysis Maxim Raginsky Alexander Rakhlin Matus Telgarsky 70 521 0 13 Feb 2017
Non-asymptotic convergence analysis for the Unadjusted Langevin Algorithm Alain Durmus Eric Moulines 64 412 0 17 Jul 2015
Theoretical guarantees for approximate sampling from smooth and log-concave densities A. Dalalyan 66 514 0 23 Dec 2014
Non-asymptotic mixing of the MALA algorithm Nawaf Bou-Rabee Martin Hairer Eric Vanden-Eijnden 68 94 0 20 Aug 2010