Stochastic Gradient Hamiltonian Monte Carlo with Variance Reduction for Bayesian Inference

29 March 2018

Papers citing "Stochastic Gradient Hamiltonian Monte Carlo with Variance Reduction for Bayesian Inference"

3 / 3 papers shown

Title
Target Detection on Hyperspectral Images Using MCMC and VI Trained Bayesian Neural Networks Daniel Ries Jason Adams J. Zollweg BDL 27 1 0 11 Aug 2023
Global Convergence of Langevin Dynamics Based Algorithms for Nonconvex Optimization Pan Xu Jinghui Chen Difan Zou Quanquan Gu 36 200 0 20 Jul 2017
On the Convergence of Stochastic Gradient MCMC Algorithms with High-Order Integrators Changyou Chen Nan Ding Lawrence Carin 40 159 0 21 Oct 2016