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A Convergence Analysis for A Class of Practical Variance-Reduction
  Stochastic Gradient MCMC

A Convergence Analysis for A Class of Practical Variance-Reduction Stochastic Gradient MCMC

4 September 2017
Changyou Chen
Wenlin Wang
Yizhe Zhang
Qinliang Su
Lawrence Carin
ArXivPDFHTML

Papers citing "A Convergence Analysis for A Class of Practical Variance-Reduction Stochastic Gradient MCMC"

6 / 6 papers shown
Title
Balance is Essence: Accelerating Sparse Training via Adaptive Gradient
  Correction
Balance is Essence: Accelerating Sparse Training via Adaptive Gradient Correction
Bowen Lei
Dongkuan Xu
Ruqi Zhang
Shuren He
Bani Mallick
37
6
0
09 Jan 2023
Stochastic Normalized Gradient Descent with Momentum for Large-Batch
  Training
Stochastic Normalized Gradient Descent with Momentum for Large-Batch Training
Shen-Yi Zhao
Chang-Wei Shi
Yin-Peng Xie
Wu-Jun Li
ODL
26
8
0
28 Jul 2020
Algorithmic Theory of ODEs and Sampling from Well-conditioned Logconcave
  Densities
Algorithmic Theory of ODEs and Sampling from Well-conditioned Logconcave Densities
Y. Lee
Zhao Song
Santosh Vempala
24
37
0
15 Dec 2018
On Connecting Stochastic Gradient MCMC and Differential Privacy
On Connecting Stochastic Gradient MCMC and Differential Privacy
Bai Li
Changyou Chen
Hao Liu
Lawrence Carin
41
38
0
25 Dec 2017
Control Variates for Stochastic Gradient MCMC
Control Variates for Stochastic Gradient MCMC
Jack Baker
Paul Fearnhead
E. Fox
Christopher Nemeth
BDL
30
101
0
16 Jun 2017
On the Convergence of Stochastic Gradient MCMC Algorithms with
  High-Order Integrators
On the Convergence of Stochastic Gradient MCMC Algorithms with High-Order Integrators
Changyou Chen
Nan Ding
Lawrence Carin
37
158
0
21 Oct 2016
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