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PAC-Bayes Analysis Beyond the Usual Bounds

PAC-Bayes Analysis Beyond the Usual Bounds

23 June 2020
Omar Rivasplata
Ilja Kuzborskij
Csaba Szepesvári
John Shawe-Taylor
ArXivPDFHTML

Papers citing "PAC-Bayes Analysis Beyond the Usual Bounds"

19 / 19 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 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
Uniform Generalization Bounds on Data-Dependent Hypothesis Sets via PAC-Bayesian Theory on Random Sets
Uniform Generalization Bounds on Data-Dependent Hypothesis Sets via PAC-Bayesian Theory on Random Sets
Benjamin Dupuis
Paul Viallard
George Deligiannidis
Umut Simsekli
40
2
0
26 Apr 2024
Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization
  Bounds with Complexity Measures
Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization Bounds with Complexity Measures
Paul Viallard
Rémi Emonet
Amaury Habrard
Emilie Morvant
Valentina Zantedeschi
31
3
0
19 Feb 2024
A PAC-Bayesian Link Between Generalisation and Flat Minima
A PAC-Bayesian Link Between Generalisation and Flat Minima
Maxime Haddouche
Paul Viallard
Umut Simsekli
Benjamin Guedj
35
3
0
13 Feb 2024
Personalized Federated Learning of Probabilistic Models: A PAC-Bayesian Approach
Personalized Federated Learning of Probabilistic Models: A PAC-Bayesian Approach
Mahrokh Ghoddousi Boroujeni
Andreas Krause
Giancarlo Ferrari-Trecate
FedML
32
3
0
16 Jan 2024
Practicality of generalization guarantees for unsupervised domain
  adaptation with neural networks
Practicality of generalization guarantees for unsupervised domain adaptation with neural networks
Adam Breitholtz
Fredrik D. Johansson
OOD
19
1
0
15 Mar 2023
Generalisation under gradient descent via deterministic PAC-Bayes
Generalisation under gradient descent via deterministic PAC-Bayes
Eugenio Clerico
Tyler Farghly
George Deligiannidis
Benjamin Guedj
Arnaud Doucet
23
4
0
06 Sep 2022
Integral Probability Metrics PAC-Bayes Bounds
Integral Probability Metrics PAC-Bayes Bounds
Ron Amit
Baruch Epstein
Shay Moran
Ron Meir
19
18
0
01 Jul 2022
A General framework for PAC-Bayes Bounds for Meta-Learning
A General framework for PAC-Bayes Bounds for Meta-Learning
A. Rezazadeh
AI4CE
11
4
0
11 Jun 2022
Online PAC-Bayes Learning
Online PAC-Bayes Learning
Maxime Haddouche
Benjamin Guedj
16
21
0
31 May 2022
Investigating Generalization by Controlling Normalized Margin
Investigating Generalization by Controlling Normalized Margin
Alexander R. Farhang
Jeremy Bernstein
Kushal Tirumala
Yang Liu
Yisong Yue
21
6
0
08 May 2022
User-friendly introduction to PAC-Bayes bounds
User-friendly introduction to PAC-Bayes bounds
Pierre Alquier
FedML
34
196
0
21 Oct 2021
Priors in Bayesian Deep Learning: A Review
Priors in Bayesian Deep Learning: A Review
Vincent Fortuin
UQCV
BDL
29
124
0
14 May 2021
Generalization Bounds for Meta-Learning via PAC-Bayes and Uniform
  Stability
Generalization Bounds for Meta-Learning via PAC-Bayes and Uniform Stability
Alec Farid
Anirudha Majumdar
11
34
0
12 Feb 2021
Second Order PAC-Bayesian Bounds for the Weighted Majority Vote
Second Order PAC-Bayesian Bounds for the Weighted Majority Vote
A. Masegosa
S. Lorenzen
Christian Igel
Yevgeny Seldin
26
40
0
01 Jul 2020
Simpler PAC-Bayesian Bounds for Hostile Data
Simpler PAC-Bayesian Bounds for Hostile Data
Pierre Alquier
Benjamin Guedj
79
72
0
23 Oct 2016
PAC-Bayesian Bounds for Randomized Empirical Risk Minimizers
PAC-Bayesian Bounds for Randomized Empirical Risk Minimizers
Pierre Alquier
156
58
0
11 Dec 2007
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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