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Improving Sampling Accuracy of Stochastic Gradient MCMC Methods via
  Non-uniform Subsampling of Gradients
v1v2v3 (latest)

Improving Sampling Accuracy of Stochastic Gradient MCMC Methods via Non-uniform Subsampling of Gradients

Discrete and Continuous Dynamical Systems. Series A (DCDS-A), 2020
20 February 2020
Ruilin Li
Xin Wang
H. Zha
Molei Tao
ArXiv (abs)PDFHTML

Papers citing "Improving Sampling Accuracy of Stochastic Gradient MCMC Methods via Non-uniform Subsampling of Gradients"

2 / 2 papers shown
Preferential Subsampling for Stochastic Gradient Langevin Dynamics
Preferential Subsampling for Stochastic Gradient Langevin DynamicsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Srshti Putcha
Christopher Nemeth
Paul Fearnhead
274
0
0
28 Oct 2022
The block-Poisson estimator for optimally tuned exact subsampling MCMC
The block-Poisson estimator for optimally tuned exact subsampling MCMC
M. Quiroz
Minh-Ngoc Tran
M. Villani
Robert Kohn
Khue-Dung Dang
554
27
0
27 Mar 2016
1
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