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A unified recipe for deriving (time-uniform) PAC-Bayes bounds
v1v2v3v4v5 (latest)

A unified recipe for deriving (time-uniform) PAC-Bayes bounds

Journal of machine learning research (JMLR), 2023
7 February 2023
Ben Chugg
Hongjian Wang
Aaditya Ramdas
ArXiv (abs)PDFHTML

Papers citing "A unified recipe for deriving (time-uniform) PAC-Bayes bounds"

15 / 15 papers shown
PAC-Bayesian Generalization Bounds for Graph Convolutional Networks on Inductive Node Classification
PAC-Bayesian Generalization Bounds for Graph Convolutional Networks on Inductive Node Classification
Huayi Tang
Yong Liu
GNNAI4CE
218
0
0
08 Sep 2025
Anytime-valid, Bayes-assisted, Prediction-Powered Inference
Anytime-valid, Bayes-assisted, Prediction-Powered Inference
Valentin Kilian
Stefano Cortinovis
François Caron
399
4
0
23 May 2025
Compute-Optimal LLMs Provably Generalize Better With Scale
Compute-Optimal LLMs Provably Generalize Better With ScaleInternational Conference on Learning Representations (ICLR), 2025
Marc Finzi
Sanyam Kapoor
Diego Granziol
Anming Gu
Christopher De Sa
J. Zico Kolter
Andrew Gordon Wilson
484
5
0
21 Apr 2025
A Unified Confidence Sequence for Generalized Linear Models, with Applications to Bandits
A Unified Confidence Sequence for Generalized Linear Models, with Applications to Bandits
Junghyun Lee
Se-Young Yun
Kwang-Sung Jun
716
23
0
19 Jul 2024
Data-dependent and Oracle Bounds on Forgetting in Continual Learning
Data-dependent and Oracle Bounds on Forgetting in Continual Learning
Lior Friedman
Ron Meir
498
1
0
13 Jun 2024
Recursive PAC-Bayes: A Frequentist Approach to Sequential Prior Updates with No Information Loss
Recursive PAC-Bayes: A Frequentist Approach to Sequential Prior Updates with No Information LossNeural Information Processing Systems (NeurIPS), 2024
Yi-Shan Wu
Yijie Zhang
Badr-Eddine Chérief-Abdellatif
Yevgeny Seldin
454
5
0
23 May 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
374
6
0
26 Apr 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
422
10
0
13 Feb 2024
Time-Uniform Confidence Spheres for Means of Random Vectors
Time-Uniform Confidence Spheres for Means of Random Vectors
Ben Chugg
Hongjian Wang
Aaditya Ramdas
938
9
0
14 Nov 2023
Federated Learning with Nonvacuous Generalisation Bounds
Federated Learning with Nonvacuous Generalisation Bounds
Pierre Jobic
Maxime Haddouche
Benjamin Guedj
FedML
292
4
0
17 Oct 2023
Time-Uniform Self-Normalized Concentration for Vector-Valued Processes
Time-Uniform Self-Normalized Concentration for Vector-Valued Processes
Justin Whitehouse
Zhiwei Steven Wu
Aaditya Ramdas
384
14
0
13 Oct 2023
MMD-FUSE: Learning and Combining Kernels for Two-Sample Testing Without
  Data Splitting
MMD-FUSE: Learning and Combining Kernels for Two-Sample Testing Without Data SplittingNeural Information Processing Systems (NeurIPS), 2023
Felix Biggs
Antonin Schrab
Arthur Gretton
365
36
0
14 Jun 2023
Learning via Wasserstein-Based High Probability Generalisation Bounds
Learning via Wasserstein-Based High Probability Generalisation BoundsNeural Information Processing Systems (NeurIPS), 2023
Paul Viallard
Maxime Haddouche
Umut Simsekli
Benjamin Guedj
415
15
0
07 Jun 2023
The extended Ville's inequality for nonintegrable nonnegative
  supermartingales
The extended Ville's inequality for nonintegrable nonnegative supermartingalesBernoulli (Bernoulli), 2023
Hongjian Wang
Aaditya Ramdas
425
13
0
03 Apr 2023
PAC-Bayes Bounds for Bandit Problems: A Survey and Experimental
  Comparison
PAC-Bayes Bounds for Bandit Problems: A Survey and Experimental ComparisonIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
H. Flynn
David Reeb
M. Kandemir
Jan Peters
OffRL
391
10
0
29 Nov 2022
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