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Which Algorithms Have Tight Generalization Bounds?

Which Algorithms Have Tight Generalization Bounds?

2 October 2024
Michael C. Gastpar
Ido Nachum
Jonathan Shafer
T. Weinberger
ArXiv (abs)PDFHTML

Papers citing "Which Algorithms Have Tight Generalization Bounds?"

8 / 8 papers shown
Title
A New Family of Generalization Bounds Using Samplewise Evaluated CMI
A New Family of Generalization Bounds Using Samplewise Evaluated CMI
Fredrik Hellström
G. Durisi
92
26
0
12 Oct 2022
Stability and Generalization Analysis of Gradient Methods for Shallow
  Neural Networks
Stability and Generalization Analysis of Gradient Methods for Shallow Neural Networks
Yunwen Lei
Rong Jin
Yiming Ying
MLT
98
19
0
19 Sep 2022
Beyond Lipschitz: Sharp Generalization and Excess Risk Bounds for
  Full-Batch GD
Beyond Lipschitz: Sharp Generalization and Excess Risk Bounds for Full-Batch GD
Konstantinos E. Nikolakakis
Farzin Haddadpour
Amin Karbasi
Dionysios S. Kalogerias
115
19
0
26 Apr 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
120
44
0
04 Oct 2021
In Defense of Uniform Convergence: Generalization via derandomization
  with an application to interpolating predictors
In Defense of Uniform Convergence: Generalization via derandomization with an application to interpolating predictors
Jeffrey Negrea
Gintare Karolina Dziugaite
Daniel M. Roy
AI4CE
66
65
0
09 Dec 2019
Fantastic Generalization Measures and Where to Find Them
Fantastic Generalization Measures and Where to Find Them
Yiding Jiang
Behnam Neyshabur
H. Mobahi
Dilip Krishnan
Samy Bengio
AI4CE
145
611
0
04 Dec 2019
Generalization Error Bounds Via Rényi-, $f$-Divergences and Maximal
  Leakage
Generalization Error Bounds Via Rényi-, fff-Divergences and Maximal Leakage
A. Esposito
Michael C. Gastpar
Ibrahim Issa
68
76
0
01 Dec 2019
Information-theoretic analysis of generalization capability of learning
  algorithms
Information-theoretic analysis of generalization capability of learning algorithms
Aolin Xu
Maxim Raginsky
194
448
0
22 May 2017
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