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Jensen-Shannon Information Based Characterization of the Generalization
  Error of Learning Algorithms
v1v2 (latest)

Jensen-Shannon Information Based Characterization of the Generalization Error of Learning Algorithms

23 October 2020
Gholamali Aminian
Laura Toni
M. Rodrigues
ArXiv (abs)PDFHTML

Papers citing "Jensen-Shannon Information Based Characterization of the Generalization Error of Learning Algorithms"

17 / 17 papers shown
Title
The Generalization Error of Machine Learning Algorithms
The Generalization Error of Machine Learning Algorithms
S. Perlaza
Xinying Zou
118
6
0
18 Nov 2024
Generalization and Robustness of the Tilted Empirical Risk
Generalization and Robustness of the Tilted Empirical Risk
Gholamali Aminian
Amir R. Asadi
Tian Li
Ahmad Beirami
Gesine Reinert
Samuel N. Cohen
71
0
0
28 Sep 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
58
18
0
19 Dec 2023
Information-Theoretic Generalization Bounds for Transductive Learning and its Applications
Information-Theoretic Generalization Bounds for Transductive Learning and its Applications
Huayi Tang
Yong Liu
152
0
0
08 Nov 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
59
22
0
21 Jun 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
64
23
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
53
9
0
02 Oct 2022
Understanding Generalization via Leave-One-Out Conditional Mutual
  Information
Understanding Generalization via Leave-One-Out Conditional Mutual Information
Mahdi Haghifam
Shay Moran
Daniel M. Roy
Gintare Karolina Dziugaite
75
15
0
29 Jun 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
74
14
0
21 Jun 2022
Formal limitations of sample-wise information-theoretic generalization
  bounds
Formal limitations of sample-wise information-theoretic generalization bounds
Hrayr Harutyunyan
Greg Ver Steeg
Aram Galstyan
48
2
0
13 May 2022
Tighter Expected Generalization Error Bounds via Convexity of
  Information Measures
Tighter Expected Generalization Error Bounds via Convexity of Information Measures
Gholamali Aminian
Yuheng Bu
G. Wornell
Miguel R. D. Rodrigues
78
24
0
24 Feb 2022
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
114
28
0
24 Feb 2022
Characterizing and Understanding the Generalization Error of Transfer
  Learning with Gibbs Algorithm
Characterizing and Understanding the Generalization Error of Transfer Learning with Gibbs Algorithm
Yuheng Bu
Gholamali Aminian
Laura Toni
Miguel R. D. Rodrigues
G. Wornell
61
14
0
02 Nov 2021
Characterizing the Generalization Error of Gibbs Algorithm with
  Symmetrized KL information
Characterizing the Generalization Error of Gibbs Algorithm with Symmetrized KL information
Gholamali Aminian
Yuheng Bu
Laura Toni
M. Rodrigues
G. Wornell
73
4
0
28 Jul 2021
Generalization Bounds for Noisy Iterative Algorithms Using Properties of
  Additive Noise Channels
Generalization Bounds for Noisy Iterative Algorithms Using Properties of Additive Noise Channels
Hao Wang
Rui Gao
Flavio du Pin Calmon
81
18
0
05 Feb 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
139
16
0
03 Feb 2021
An Information-Theoretic Analysis of the Impact of Task Similarity on
  Meta-Learning
An Information-Theoretic Analysis of the Impact of Task Similarity on Meta-Learning
Sharu Theresa Jose
Osvaldo Simeone
84
11
0
21 Jan 2021
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