Fractional Langevin Monte Carlo: Exploring Lévy Driven Stochastic Differential Equations for Markov Chain Monte Carlo

12 June 2017

Papers citing "Fractional Langevin Monte Carlo: Exploring Lévy Driven Stochastic Differential Equations for Markov Chain Monte Carlo"

9 / 9 papers shown

Title
$Denoising L\évy Probabilistic Models$ Denoising L\évy Probabilistic Models Dario Shariatian Umut Simsekli Alain Durmus DiffM 24 2 0 26 Jul 2024
Revisiting the Noise Model of Stochastic Gradient Descent Barak Battash Ofir Lindenbaum 22 9 0 05 Mar 2023
Convergence of Stein Variational Gradient Descent under a Weaker Smoothness Condition Lukang Sun Avetik G. Karagulyan Peter Richtárik 21 19 0 01 Jun 2022
Heavy-tailed denoising score matching J. Deasy Nikola Simidjievski Pietro Lio' DiffM 23 14 0 17 Dec 2021
Deep Learning is Singular, and That's Good Daniel Murfet Susan Wei Mingming Gong Hui Li Jesse Gell-Redman T. Quella UQCV 16 26 0 22 Oct 2020
A Tail-Index Analysis of Stochastic Gradient Noise in Deep Neural Networks Umut Simsekli Levent Sagun Mert Gurbuzbalaban 13 237 0 18 Jan 2019
Sliced-Wasserstein Flows: Nonparametric Generative Modeling via Optimal Transport and Diffusions Antoine Liutkus Umut Simsekli Szymon Majewski Alain Durmus Fabian-Robert Stöter DiffM 19 119 0 21 Jun 2018
Bayesian Pose Graph Optimization via Bingham Distributions and Tempered Geodesic MCMC Tolga Birdal Umut Simsekli M. Eken Slobodan Ilic 11 38 0 31 May 2018
On the Convergence of Stochastic Gradient MCMC Algorithms with High-Order Integrators Changyou Chen Nan Ding Lawrence Carin 32 158 0 21 Oct 2016