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A Limitation of the PAC-Bayes Framework

A Limitation of the PAC-Bayes Framework

24 June 2020
Roi Livni
Shay Moran
ArXivPDFHTML

Papers citing "A Limitation of the PAC-Bayes Framework"

12 / 12 papers shown
Title
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
38
9
0
21 Jun 2023
Statistical Indistinguishability of Learning Algorithms
Statistical Indistinguishability of Learning Algorithms
Alkis Kalavasis
Amin Karbasi
Shay Moran
Grigoris Velegkas
30
16
0
23 May 2023
A Unified Characterization of Private Learnability via Graph Theory
A Unified Characterization of Private Learnability via Graph Theory
N. Alon
Shay Moran
Hilla Schefler
Amir Yehudayoff
37
2
0
08 Apr 2023
Information Theoretic Lower Bounds for Information Theoretic Upper
  Bounds
Information Theoretic Lower Bounds for Information Theoretic Upper Bounds
Roi Livni
24
14
0
09 Feb 2023
Limitations of Information-Theoretic Generalization Bounds for Gradient
  Descent Methods in Stochastic Convex Optimization
Limitations of Information-Theoretic Generalization Bounds for Gradient Descent Methods in Stochastic Convex Optimization
Mahdi Haghifam
Borja Rodríguez Gálvez
Ragnar Thobaben
Mikael Skoglund
Daniel M. Roy
Gintare Karolina Dziugaite
31
17
0
27 Dec 2022
Integral Probability Metrics PAC-Bayes Bounds
Integral Probability Metrics PAC-Bayes Bounds
Ron Amit
Baruch Epstein
Shay Moran
Ron Meir
37
18
0
01 Jul 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
28
14
0
29 Jun 2022
Finite Littlestone Dimension Implies Finite Information Complexity
Finite Littlestone Dimension Implies Finite Information Complexity
Aditya Pradeep
Ido Nachum
Michael C. Gastpar
24
7
0
27 Jun 2022
Towards a Unified Information-Theoretic Framework for Generalization
Towards a Unified Information-Theoretic Framework for Generalization
Mahdi Haghifam
Gintare Karolina Dziugaite
Shay Moran
Daniel M. Roy
27
34
0
09 Nov 2021
User-friendly introduction to PAC-Bayes bounds
User-friendly introduction to PAC-Bayes bounds
Pierre Alquier
FedML
69
199
0
21 Oct 2021
PAC-Bayes, MAC-Bayes and Conditional Mutual Information: Fast rate
  bounds that handle general VC classes
PAC-Bayes, MAC-Bayes and Conditional Mutual Information: Fast rate bounds that handle general VC classes
Peter Grünwald
Thomas Steinke
Lydia Zakynthinou
30
29
0
17 Jun 2021
Pac-Bayesian Supervised Classification: The Thermodynamics of
  Statistical Learning
Pac-Bayesian Supervised Classification: The Thermodynamics of Statistical Learning
O. Catoni
164
455
0
03 Dec 2007
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