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A General Framework for the Practical Disintegration of PAC-Bayesian
  Bounds

A General Framework for the Practical Disintegration of PAC-Bayesian Bounds

17 February 2021
Paul Viallard
Pascal Germain
Amaury Habrard
Emilie Morvant
    UQCV
ArXivPDFHTML

Papers citing "A General Framework for the Practical Disintegration of PAC-Bayesian Bounds"

12 / 12 papers shown
Title
Non-vacuous Generalization Bounds for Deep Neural Networks without any modification to the trained models
Khoat Than
Dat Phan
BDL
AAML
VLM
55
0
0
10 Mar 2025
Multi-View Majority Vote Learning Algorithms: Direct Minimization of PAC-Bayesian Bounds
Multi-View Majority Vote Learning Algorithms: Direct Minimization of PAC-Bayesian Bounds
Mehdi Hennequin
Abdelkrim Zitouni
K. Benabdeslem
H. Elghazel
Yacine Gaci
26
0
0
09 Nov 2024
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
32
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
23
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
27
3
0
13 Feb 2024
Tighter Generalisation Bounds via Interpolation
Tighter Generalisation Bounds via Interpolation
Paul Viallard
Maxime Haddouche
Umut Simsekli
Benjamin Guedj
11
3
0
07 Feb 2024
PAC-Bayes Generalization Certificates for Learned Inductive Conformal
  Prediction
PAC-Bayes Generalization Certificates for Learned Inductive Conformal Prediction
Apoorva Sharma
Sushant Veer
Asher Hancock
Heng Yang
Marco Pavone
Anirudha Majumdar
41
8
0
07 Dec 2023
From Mutual Information to Expected Dynamics: New Generalization Bounds
  for Heavy-Tailed SGD
From Mutual Information to Expected Dynamics: New Generalization Bounds for Heavy-Tailed SGD
Benjamin Dupuis
Paul Viallard
13
3
0
01 Dec 2023
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
17
1
0
15 Mar 2023
Kernel Interpolation as a Bayes Point Machine
Kernel Interpolation as a Bayes Point Machine
Jeremy Bernstein
Alexander R. Farhang
Yisong Yue
BDL
14
4
0
08 Oct 2021
Learning Stochastic Majority Votes by Minimizing a PAC-Bayes
  Generalization Bound
Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound
Valentina Zantedeschi
Paul Viallard
Emilie Morvant
Rémi Emonet
Amaury Habrard
Pascal Germain
Benjamin Guedj
FedML
BDL
14
16
0
23 Jun 2021
Risk-Monotonicity in Statistical Learning
Risk-Monotonicity in Statistical Learning
Zakaria Mhammedi
14
7
0
28 Nov 2020
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