Stochastic Gradient Hamiltonian Monte Carlo for Non-Convex Learning

25 March 2019

Papers citing "Stochastic Gradient Hamiltonian Monte Carlo for Non-Convex Learning"

5 / 5 papers shown

Title
Kinetic Langevin MCMC Sampling Without Gradient Lipschitz Continuity -- the Strongly Convex Case Tim Johnston Iosif Lytras Sotirios Sabanis 30 8 0 19 Jan 2023
Decentralized Bayesian Learning with Metropolis-Adjusted Hamiltonian Monte Carlo Vyacheslav Kungurtsev Adam D. Cobb T. Javidi Brian Jalaian 51 4 0 15 Jul 2021
Nonasymptotic analysis of Stochastic Gradient Hamiltonian Monte Carlo under local conditions for nonconvex optimization Ömer Deniz Akyildiz Sotirios Sabanis 35 17 0 13 Feb 2020
On the Convergence of Stochastic Gradient MCMC Algorithms with High-Order Integrators Changyou Chen Nan Ding Lawrence Carin 37 158 0 21 Oct 2016
MCMC using Hamiltonian dynamics Radford M. Neal 185 3,266 0 09 Jun 2012