Tighter PAC-Bayes Generalisation Bounds ...

Document type :
Communication dans un congrès avec actes
Title :
Tighter PAC-Bayes Generalisation Bounds by Leveraging Example Difficulty
Author(s) :
Biggs, Felix [Auteur]
Department of Computer science [University College of London] [UCL-CS]
Guedj, Benjamin [Auteur] refId
University College of London [London] [UCL]
Department of Computer science [University College of London] [UCL-CS]
Institut National de Recherche en Informatique et en Automatique [Inria]
Inria Lille - Nord Europe
The Alan Turing Institute
The Inria London Programme [Inria-London]
MOdel for Data Analysis and Learning [MODAL]
Conference title :
AISTATS 2023 - 26th International Conference on Artificial Intelligence and Statistics
City :
Valencia
Country :
Espagne
Start date of the conference :
2023-04-25
Publication date :
2022-10-20
HAL domain(s) :
Informatique [cs]/Apprentissage [cs.LG]
English abstract : [en]
We introduce a modified version of the excess risk, which can be used to obtain tighter, fast-rate PAC-Bayesian generalisation bounds. This modified excess risk leverages information about the relative hardness of data ...
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Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Comment :
22 pages
Collections :
Source :
Harvested from HAL
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