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Information-Theoretic Bounds on the Moments of the Generalization Error of Learning Algorithms
International Symposium on Information Theory (ISIT), 2021
3 February 2021
Gholamali Aminian
Laura Toni
M. Rodrigues
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Papers citing
"Information-Theoretic Bounds on the Moments of the Generalization Error of Learning Algorithms"
11 / 11 papers shown
An Information-Theoretic Analysis of OOD Generalization in Meta-Reinforcement Learning
Xingtu Liu
214
0
0
27 Oct 2025
Generalization and Robustness of the Tilted Empirical Risk
Gholamali Aminian
Amir R. Asadi
Tian Li
Ahmad Beirami
Gesine Reinert
Samuel N. Cohen
521
1
0
28 Sep 2024
Information-Theoretic Generalization Bounds for Deep Neural Networks
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2024
Haiyun He
Christina Lee Yu
538
13
0
04 Apr 2024
Information-Theoretic Generalization Bounds for Transductive Learning and its Applications
Huayi Tang
Yong Liu
571
3
0
08 Nov 2023
How Does Pseudo-Labeling Affect the Generalization Error of the Semi-Supervised Gibbs Algorithm?
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Haiyun He
Gholamali Aminian
Yuheng Bu
Miguel R. D. Rodrigues
Vincent Y. F. Tan
262
7
0
15 Oct 2022
Learning Algorithm Generalization Error Bounds via Auxiliary Distributions
IEEE Journal on Selected Areas in Information Theory (JSAIT), 2022
Gholamali Aminian
Saeed Masiha
Laura Toni
M. Rodrigues
336
13
0
02 Oct 2022
f-divergences and their applications in lossy compression and bounding generalization error
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2022
Saeed Masiha
A. Gohari
Mohammad Hossein Yassaee
340
24
0
21 Jun 2022
Formal limitations of sample-wise information-theoretic generalization bounds
Information Theory Workshop (ITW), 2022
Hrayr Harutyunyan
Greg Ver Steeg
Aram Galstyan
335
3
0
13 May 2022
Chained Generalisation Bounds
Annual Conference Computational Learning Theory (COLT), 2022
Eugenio Clerico
Amitis Shidani
George Deligiannidis
Arnaud Doucet
AI4CE
FedML
308
14
0
02 Mar 2022
An Information-theoretical Approach to Semi-supervised Learning under Covariate-shift
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Gholamali Aminian
Mahed Abroshan
Mohammad Mahdi Khalili
Laura Toni
M. Rodrigues
OOD
335
29
0
24 Feb 2022
Characterizing and Understanding the Generalization Error of Transfer Learning with Gibbs Algorithm
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Yuheng Bu
Gholamali Aminian
Laura Toni
Miguel R. D. Rodrigues
G. Wornell
201
17
0
02 Nov 2021
1
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