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Optimizing Information-theoretical Generalization Bounds via Anisotropic
  Noise in SGLD

Optimizing Information-theoretical Generalization Bounds via Anisotropic Noise in SGLD

26 October 2021
Bohan Wang
Huishuai Zhang
Jieyu Zhang
Qi Meng
Wei Chen
Tie-Yan Liu
ArXivPDFHTML

Papers citing "Optimizing Information-theoretical Generalization Bounds via Anisotropic Noise in SGLD"

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
113
147
0
06 Nov 2019
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp
  Minima
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
308
2,890
0
15 Sep 2016
1