Breaking Reversibility Accelerates Langevin Dynamics for Global Non-Convex Optimization

19 December 2018

Papers citing "Breaking Reversibility Accelerates Langevin Dynamics for Global Non-Convex Optimization"

8 / 8 papers shown

Title
Neural Sampling in Hierarchical Exponential-family Energy-based Models Xingsi Dong Si Wu 38 3 0 12 Oct 2023
Kinetic Langevin MCMC Sampling Without Gradient Lipschitz Continuity -- the Strongly Convex Case Tim Johnston Iosif Lytras Sotirios Sabanis 43 8 0 19 Jan 2023
First Exit Time Analysis of Stochastic Gradient Descent Under Heavy-Tailed Gradient Noise T. H. Nguyen Umut Simsekli Mert Gurbuzbalaban G. Richard 25 60 0 21 Jun 2019
A Universally Optimal Multistage Accelerated Stochastic Gradient Method N. Aybat Alireza Fallah Mert Gurbuzbalaban Asuman Ozdaglar ODL 29 57 0 23 Jan 2019
Accelerated Linear Convergence of Stochastic Momentum Methods in Wasserstein Distances Bugra Can Mert Gurbuzbalaban Lingjiong Zhu 29 45 0 22 Jan 2019
On the Convergence of Stochastic Gradient MCMC Algorithms with High-Order Integrators Changyou Chen Nan Ding Lawrence Carin 40 159 0 21 Oct 2016
Efficient Solution to the 3D Problem of Automatic Wall Paintings Reassembly A. S. Keys Dimitris Arabadjis C. Iacovella Panayiotis Rousopoulos S. Glotzer Michail Panagopoulos Lena Papazoglou-Manioudaki 3DV 70 134 0 10 Oct 2012
MCMC using Hamiltonian dynamics Radford M. Neal 192 3,268 0 09 Jun 2012