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Generalization Bounds for Stochastic Gradient Langevin Dynamics: A
  Unified View via Information Leakage Analysis

Generalization Bounds for Stochastic Gradient Langevin Dynamics: A Unified View via Information Leakage Analysis

14 December 2021
Bingzhe Wu
Zhicong Liang
Yatao Bian
Chaochao Chen
Junzhou Huang
Yuan Yao
ArXivPDFHTML

Papers citing "Generalization Bounds for Stochastic Gradient Langevin Dynamics: A Unified View via Information Leakage Analysis"

2 / 2 papers shown
Title
Information-Theoretic Generalization Bounds for SGLD via Data-Dependent
  Estimates
Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates
Jeffrey Negrea
Mahdi Haghifam
Gintare Karolina Dziugaite
Ashish Khisti
Daniel M. Roy
FedML
115
148
0
06 Nov 2019
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
40
159
0
21 Oct 2016
1