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On the role of data in PAC-Bayes bounds

On the role of data in PAC-Bayes bounds

19 June 2020
Gintare Karolina Dziugaite
Kyle Hsu
W. Gharbieh
Gabriel Arpino
Daniel M. Roy
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Papers citing "On the role of data in PAC-Bayes bounds"

20 / 20 papers shown
Title
Mixture of Scope Experts at Test: Generalizing Deeper Graph Neural Networks with Shallow Variants
Mixture of Scope Experts at Test: Generalizing Deeper Graph Neural Networks with Shallow Variants
Gangda Deng
Hongkuan Zhou
Rajgopal Kannan
Viktor Prasanna
38
0
0
11 Sep 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
39
3
0
19 Feb 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
21
1
0
15 Mar 2023
PAC-Bayes Compression Bounds So Tight That They Can Explain
  Generalization
PAC-Bayes Compression Bounds So Tight That They Can Explain Generalization
Sanae Lotfi
Marc Finzi
Sanyam Kapoor
Andres Potapczynski
Micah Goldblum
A. Wilson
BDL
MLT
AI4CE
29
51
0
24 Nov 2022
Scalable PAC-Bayesian Meta-Learning via the PAC-Optimal Hyper-Posterior:
  From Theory to Practice
Scalable PAC-Bayesian Meta-Learning via the PAC-Optimal Hyper-Posterior: From Theory to Practice
Jonas Rothfuss
Martin Josifoski
Vincent Fortuin
Andreas Krause
43
7
0
14 Nov 2022
Tighter PAC-Bayes Generalisation Bounds by Leveraging Example Difficulty
Tighter PAC-Bayes Generalisation Bounds by Leveraging Example Difficulty
Felix Biggs
Benjamin Guedj
24
7
0
20 Oct 2022
A General framework for PAC-Bayes Bounds for Meta-Learning
A General framework for PAC-Bayes Bounds for Meta-Learning
A. Rezazadeh
AI4CE
21
4
0
11 Jun 2022
Bayesian Model Selection, the Marginal Likelihood, and Generalization
Bayesian Model Selection, the Marginal Likelihood, and Generalization
Sanae Lotfi
Pavel Izmailov
Gregory W. Benton
Micah Goldblum
A. Wilson
UQCV
BDL
52
56
0
23 Feb 2022
On PAC-Bayesian reconstruction guarantees for VAEs
On PAC-Bayesian reconstruction guarantees for VAEs
Badr-Eddine Chérief-Abdellatif
Yuyang Shi
Arnaud Doucet
Benjamin Guedj
DRL
50
17
0
23 Feb 2022
Demystify Optimization and Generalization of Over-parameterized
  PAC-Bayesian Learning
Demystify Optimization and Generalization of Over-parameterized PAC-Bayesian Learning
Wei Huang
Chunrui Liu
Yilan Chen
Tianyu Liu
R. Xu
BDL
MLT
19
2
0
04 Feb 2022
Non-Vacuous Generalisation Bounds for Shallow Neural Networks
Non-Vacuous Generalisation Bounds for Shallow Neural Networks
Felix Biggs
Benjamin Guedj
BDL
30
26
0
03 Feb 2022
Information-Theoretic Bayes Risk Lower Bounds for Realizable Models
Information-Theoretic Bayes Risk Lower Bounds for Realizable Models
M. Nokleby
Ahmad Beirami
59
1
0
08 Nov 2021
Probabilistic fine-tuning of pruning masks and PAC-Bayes self-bounded
  learning
Probabilistic fine-tuning of pruning masks and PAC-Bayes self-bounded learning
Soufiane Hayou
Bo He
Gintare Karolina Dziugaite
37
2
0
22 Oct 2021
A Theory of PAC Learnability of Partial Concept Classes
A Theory of PAC Learnability of Partial Concept Classes
N. Alon
Steve Hanneke
R. Holzman
Shay Moran
22
50
0
18 Jul 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
28
29
0
17 Jun 2021
Transfer Meta-Learning: Information-Theoretic Bounds and Information
  Meta-Risk Minimization
Transfer Meta-Learning: Information-Theoretic Bounds and Information Meta-Risk Minimization
Sharu Theresa Jose
Osvaldo Simeone
G. Durisi
24
17
0
04 Nov 2020
Generalization Bounds via Information Density and Conditional
  Information Density
Generalization Bounds via Information Density and Conditional Information Density
Fredrik Hellström
G. Durisi
27
65
0
16 May 2020
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
Simpler PAC-Bayesian Bounds for Hostile Data
Simpler PAC-Bayesian Bounds for Hostile Data
Pierre Alquier
Benjamin Guedj
84
72
0
23 Oct 2016
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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