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Tighter Expected Generalization Error Bounds via Convexity of
  Information Measures

Tighter Expected Generalization Error Bounds via Convexity of Information Measures

24 February 2022
Gholamali Aminian
Yuheng Bu
G. Wornell
Miguel R. D. Rodrigues
ArXivPDFHTML

Papers citing "Tighter Expected Generalization Error Bounds via Convexity of Information Measures"

10 / 10 papers shown
Title
The Generalization Error of Machine Learning Algorithms
The Generalization Error of Machine Learning Algorithms
S. Perlaza
Xinying Zou
69
6
0
18 Nov 2024
How Does Distribution Matching Help Domain Generalization: An
  Information-theoretic Analysis
How Does Distribution Matching Help Domain Generalization: An Information-theoretic Analysis
Yuxin Dong
Tieliang Gong
Hong Chen
Shuangyong Song
Weizhan Zhang
Chen Li
OOD
42
0
0
14 Jun 2024
Generalization Analysis of Machine Learning Algorithms via the
  Worst-Case Data-Generating Probability Measure
Generalization Analysis of Machine Learning Algorithms via the Worst-Case Data-Generating Probability Measure
Xinying Zou
S. Perlaza
I. Esnaola
Eitan Altman
29
16
0
19 Dec 2023
On the Validation of Gibbs Algorithms: Training Datasets, Test Datasets
  and their Aggregation
On the Validation of Gibbs Algorithms: Training Datasets, Test Datasets and their Aggregation
S. Perlaza
I. Esnaola
Gaetan Bisson
H. Vincent Poor
16
19
0
21 Jun 2023
Exactly Tight Information-Theoretic Generalization Error Bound for the
  Quadratic Gaussian Problem
Exactly Tight Information-Theoretic Generalization Error Bound for the Quadratic Gaussian Problem
Ruida Zhou
C. Tian
Tie Liu
52
3
0
01 May 2023
Empirical Risk Minimization with Relative Entropy Regularization
Empirical Risk Minimization with Relative Entropy Regularization
S. Perlaza
Gaetan Bisson
I. Esnaola
Alain Jean-Marie
Stefano Rini
19
20
0
12 Nov 2022
Learning Algorithm Generalization Error Bounds via Auxiliary
  Distributions
Learning Algorithm Generalization Error Bounds via Auxiliary Distributions
Gholamali Aminian
Saeed Masiha
Laura Toni
M. Rodrigues
19
7
0
02 Oct 2022
Integral Probability Metrics PAC-Bayes Bounds
Integral Probability Metrics PAC-Bayes Bounds
Ron Amit
Baruch Epstein
Shay Moran
Ron Meir
32
18
0
01 Jul 2022
f-divergences and their applications in lossy compression and bounding
  generalization error
f-divergences and their applications in lossy compression and bounding generalization error
Saeed Masiha
A. Gohari
Mohammad Hossein Yassaee
16
12
0
21 Jun 2022
Improved Information Theoretic Generalization Bounds for Distributed and
  Federated Learning
Improved Information Theoretic Generalization Bounds for Distributed and Federated Learning
L. P. Barnes
Alex Dytso
H. V. Poor
FedML
41
16
0
04 Feb 2022
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