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Sample-Conditioned Hypothesis Stability Sharpens Information-Theoretic
  Generalization Bounds

Sample-Conditioned Hypothesis Stability Sharpens Information-Theoretic Generalization Bounds

31 October 2023
Ziqiao Wang
Yongyi Mao
ArXivPDFHTML

Papers citing "Sample-Conditioned Hypothesis Stability Sharpens Information-Theoretic Generalization Bounds"

10 / 10 papers shown
Title
Generalization Bounds via Conditional $f$-Information
Generalization Bounds via Conditional fff-Information
Ziqiao Wang
Yongyi Mao
FedML
45
1
0
30 Oct 2024
Information Complexity of Stochastic Convex Optimization: Applications
  to Generalization and Memorization
Information Complexity of Stochastic Convex Optimization: Applications to Generalization and Memorization
Idan Attias
Gintare Karolina Dziugaite
Mahdi Haghifam
Roi Livni
Daniel M. Roy
30
6
0
14 Feb 2024
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
44
3
0
01 May 2023
On the tightness of information-theoretic bounds on generalization error
  of learning algorithms
On the tightness of information-theoretic bounds on generalization error of learning algorithms
Xuetong Wu
J. Manton
U. Aickelin
Jingge Zhu
32
2
0
26 Mar 2023
Information-Theoretic Analysis of Unsupervised Domain Adaptation
Information-Theoretic Analysis of Unsupervised Domain Adaptation
Ziqiao Wang
Yongyi Mao
38
11
0
03 Oct 2022
On Leave-One-Out Conditional Mutual Information For Generalization
On Leave-One-Out Conditional Mutual Information For Generalization
Mohamad Rida Rammal
Alessandro Achille
Aditya Golatkar
Suhas Diggavi
Stefano Soatto
VLM
28
5
0
01 Jul 2022
On the Generalization of Models Trained with SGD: Information-Theoretic
  Bounds and Implications
On the Generalization of Models Trained with SGD: Information-Theoretic Bounds and Implications
Ziqiao Wang
Yongyi Mao
FedML
MLT
37
22
0
07 Oct 2021
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
40
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
113
147
0
06 Nov 2019
Pac-Bayesian Supervised Classification: The Thermodynamics of
  Statistical Learning
Pac-Bayesian Supervised Classification: The Thermodynamics of Statistical Learning
O. Catoni
148
454
0
03 Dec 2007
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