Stochastic Variance-Reduced Hamilton Monte Carlo Methods

Stochastic Variance-Reduced Hamilton Monte Carlo Methods

13 February 2018

Quanquan Gu

Papers citing "Stochastic Variance-Reduced Hamilton Monte Carlo Methods"

7 / 7 papers shown

Title
A Survey of Uncertainty in Deep Neural Networks J. Gawlikowski Cedrique Rovile Njieutcheu Tassi Mohsin Ali Jongseo Lee Matthias Humt ... R. Roscher Muhammad Shahzad Wen Yang R. Bamler Xiaoxiang Zhu BDL UQCV OOD 30 1,109 0 07 Jul 2021
Primal Dual Interpretation of the Proximal Stochastic Gradient Langevin Algorithm Adil Salim Peter Richtárik 14 38 0 16 Jun 2020
Aggregated Gradient Langevin Dynamics Chao Zhang Jiahao Xie Zebang Shen P. Zhao Tengfei Zhou Hui Qian 12 1 0 21 Oct 2019
Global Convergence of Langevin Dynamics Based Algorithms for Nonconvex Optimization Pan Xu Jinghui Chen Difan Zou Quanquan Gu 31 200 0 20 Jul 2017
Modified Hamiltonian Monte Carlo for Bayesian inference Tijana Radivojević E. Akhmatskaya 12 31 0 13 Jun 2017
On the Convergence of Stochastic Gradient MCMC Algorithms with High-Order Integrators Changyou Chen Nan Ding Lawrence Carin 32 158 0 21 Oct 2016
A Proximal Stochastic Gradient Method with Progressive Variance Reduction Lin Xiao Tong Zhang ODL 81 736 0 19 Mar 2014