Convergence of Langevin MCMC in KL-divergence

25 May 2017

Papers citing "Convergence of Langevin MCMC in KL-divergence"

11 / 11 papers shown

Title
Sample and Map from a Single Convex Potential: Generation using Conjugate Moment Measures Nina Vesseron Louis Béthune Marco Cuturi 96 0 0 13 Mar 2025
On the query complexity of sampling from non-log-concave distributions Yuchen He Chihao Zhang 64 1 0 10 Feb 2025
On a Neural Implementation of Brenier's Polar Factorization Nina Vesseron Marco Cuturi 78 2 0 05 Mar 2024
User-friendly guarantees for the Langevin Monte Carlo with inaccurate gradient A. Dalalyan Avetik G. Karagulyan 60 296 0 29 Sep 2017
Efficient Bayesian computation by proximal Markov chain Monte Carlo: when Langevin meets Moreau Alain Durmus Eric Moulines Marcelo Pereyra 51 176 0 22 Dec 2016
Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm Qiang Liu Dilin Wang BDL 61 1,082 0 16 Aug 2016
High-dimensional Bayesian inference via the Unadjusted Langevin Algorithm Alain Durmus Eric Moulines 71 352 0 05 May 2016
Non-asymptotic convergence analysis for the Unadjusted Langevin Algorithm Alain Durmus Eric Moulines 53 410 0 17 Jul 2015
Sampling from a log-concave distribution with Projected Langevin Monte Carlo Sébastien Bubeck Ronen Eldan Joseph Lehec 49 137 0 09 Jul 2015
Variational Inference with Normalizing Flows Danilo Jimenez Rezende S. Mohamed DRL BDL 252 4,143 0 21 May 2015
Theoretical guarantees for approximate sampling from smooth and log-concave densities A. Dalalyan 61 514 0 23 Dec 2014