PAC-Bayes Unleashed: Generalisation Bounds with Unbounded Losses

We present new PAC-Bayesian generalisation bounds for learning problems with unbounded loss functions. This extends the relevance and applicability of the PAC-Bayes learning framework, where most of the existing literature focuses on supervised learning problems with a bounded loss function (typical...

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Detalles Bibliográficos
Autores principales: Haddouche, Maxime, Guedj, Benjamin, Rivasplata, Omar, Shawe-Taylor, John
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8534909/
https://www.ncbi.nlm.nih.gov/pubmed/34682054
http://dx.doi.org/10.3390/e23101330

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8534909/
https://www.ncbi.nlm.nih.gov/pubmed/34682054
http://dx.doi.org/10.3390/e23101330

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