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

Lawrence Carin

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

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Title
Balance is Essence: Accelerating Sparse Training via Adaptive Gradient Correction Bowen Lei Dongkuan Xu Ruqi Zhang Shuren He Bani Mallick 117 6 0 09 Jan 2023
Preferential Subsampling for Stochastic Gradient Langevin Dynamics Srshti Putcha Christopher Nemeth Paul Fearnhead 50 0 0 28 Oct 2022
Faster Convergence of Stochastic Gradient Langevin Dynamics for Non-Log-Concave Sampling Difan Zou Pan Xu Quanquan Gu 108 36 0 19 Oct 2020
Structured Logconcave Sampling with a Restricted Gaussian Oracle Y. Lee Ruoqi Shen Kevin Tian 79 73 0 07 Oct 2020
Stochastic Normalized Gradient Descent with Momentum for Large-Batch Training Shen-Yi Zhao Chang-Wei Shi Yin-Peng Xie Wu-Jun Li ODL 87 10 0 28 Jul 2020
Algorithmic Theory of ODEs and Sampling from Well-conditioned Logconcave Densities Y. Lee Zhao Song Santosh Vempala 93 37 0 15 Dec 2018
The promises and pitfalls of Stochastic Gradient Langevin Dynamics N. Brosse Alain Durmus Eric Moulines 82 78 0 25 Nov 2018
On the Theory of Variance Reduction for Stochastic Gradient Monte Carlo Niladri S. Chatterji Nicolas Flammarion Yian Ma Peter L. Bartlett Michael I. Jordan 86 87 0 15 Feb 2018
On Connecting Stochastic Gradient MCMC and Differential Privacy Bai Li Changyou Chen Hao Liu Lawrence Carin 76 38 0 25 Dec 2017
Control Variates for Stochastic Gradient MCMC Jack Baker Paul Fearnhead E. Fox Christopher Nemeth BDL 91 101 0 16 Jun 2017