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A New Family of Generalization Bounds Using Samplewise Evaluated CMI

A New Family of Generalization Bounds Using Samplewise Evaluated CMI

12 October 2022
Fredrik Hellström
G. Durisi
ArXivPDFHTML

Papers citing "A New Family of Generalization Bounds Using Samplewise Evaluated CMI"

10 / 10 papers shown
Title
Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior
Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior
Milad Sefidgaran
Abdellatif Zaidi
Piotr Krasnowski
44
0
0
25 Apr 2025
Generalization in Federated Learning: A Conditional Mutual Information Framework
Ziqiao Wang
Cheng Long
Yongyi Mao
FedML
52
0
0
06 Mar 2025
Generalization Guarantees for Representation Learning via Data-Dependent Gaussian Mixture Priors
Generalization Guarantees for Representation Learning via Data-Dependent Gaussian Mixture Priors
Milad Sefidgaran
A. Zaidi
Piotr Krasnowski
80
1
0
21 Feb 2025
Information-Theoretic Generalization Bounds for Transductive Learning and its Applications
Information-Theoretic Generalization Bounds for Transductive Learning and its Applications
Huayi Tang
Yong Liu
53
1
0
08 Nov 2023
More PAC-Bayes bounds: From bounded losses, to losses with general tail
  behaviors, to anytime validity
More PAC-Bayes bounds: From bounded losses, to losses with general tail behaviors, to anytime validity
Borja Rodríguez Gálvez
Ragnar Thobaben
Mikael Skoglund
26
9
0
21 Jun 2023
Tighter Information-Theoretic Generalization Bounds from Supersamples
Tighter Information-Theoretic Generalization Bounds from Supersamples
Ziqiao Wang
Yongyi Mao
19
17
0
05 Feb 2023
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
19
2
0
13 May 2022
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 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
Pac-Bayesian Supervised Classification: The Thermodynamics of
  Statistical Learning
Pac-Bayesian Supervised Classification: The Thermodynamics of Statistical Learning
O. Catoni
135
453
0
03 Dec 2007
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