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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

3 February 2021
Gholamali Aminian
Laura Toni
M. Rodrigues
ArXivPDFHTML

Papers citing "Information-Theoretic Bounds on the Moments of the Generalization Error of Learning Algorithms"

5 / 5 papers shown
Title
Information-Theoretic Generalization Bounds for Deep Neural Networks
Information-Theoretic Generalization Bounds for Deep Neural Networks
Haiyun He
Christina Lee Yu
33
4
0
04 Apr 2024
Information-Theoretic Generalization Bounds for Transductive Learning and its Applications
Information-Theoretic Generalization Bounds for Transductive Learning and its Applications
Huayi Tang
Yong Liu
44
1
0
08 Nov 2023
An Information-theoretical Approach to Semi-supervised Learning under
  Covariate-shift
An Information-theoretical Approach to Semi-supervised Learning under Covariate-shift
Gholamali Aminian
Mahed Abroshan
Mohammad Mahdi Khalili
Laura Toni
M. Rodrigues
OOD
8
27
0
24 Feb 2022
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
105
146
0
06 Nov 2019
Simpler PAC-Bayesian Bounds for Hostile Data
Simpler PAC-Bayesian Bounds for Hostile Data
Pierre Alquier
Benjamin Guedj
76
72
0
23 Oct 2016
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