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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"

4 / 4 papers shown

Title
Target Detection on Hyperspectral Images Using MCMC and VI Trained Bayesian Neural Networks Daniel Ries Jason Adams J. Zollweg BDL 69 1 0 11 Aug 2023
Laplacian Smoothing Stochastic Gradient Markov Chain Monte Carlo Bao Wang Difan Zou Quanquan Gu Stanley Osher BDL 62 9 0 02 Nov 2019
A Fast Anderson-Chebyshev Acceleration for Nonlinear Optimization Zhize Li Jian Li 63 19 0 07 Sep 2018
Global Convergence of Langevin Dynamics Based Algorithms for Nonconvex Optimization Pan Xu Jinghui Chen Difan Zou Quanquan Gu 90 205 0 20 Jul 2017