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Information-Theoretic Generalization Bounds for Deep Neural Networks

Information-Theoretic Generalization Bounds for Deep Neural Networks

4 April 2024
Haiyun He
Christina Lee Yu
ArXivPDFHTML

Papers citing "Information-Theoretic Generalization Bounds for Deep Neural Networks"

5 / 5 papers shown
Title
Mutual Information Estimation via Normalizing Flows
Mutual Information Estimation via Normalizing Flows
I. Butakov
Alexander Tolmachev
S. Malanchuk
A. Neopryatnaya
Alexey Frolov
24
7
0
04 Mar 2024
On the Generalization of Models Trained with SGD: Information-Theoretic
  Bounds and Implications
On the Generalization of Models Trained with SGD: Information-Theoretic Bounds and Implications
Ziqiao Wang
Yongyi Mao
FedML
MLT
32
22
0
07 Oct 2021
Information-theoretic generalization bounds for black-box learning
  algorithms
Information-theoretic generalization bounds for black-box learning algorithms
Hrayr Harutyunyan
Maxim Raginsky
Greg Ver Steeg
Aram Galstyan
32
41
0
04 Oct 2021
Information-Theoretic Bounds on the Moments of the Generalization Error
  of Learning Algorithms
Information-Theoretic Bounds on the Moments of the Generalization Error of Learning Algorithms
Gholamali Aminian
Laura Toni
M. Rodrigues
56
15
0
03 Feb 2021
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
273
2,878
0
15 Sep 2016
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