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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...
Autores principales: | Haddouche, Maxime, Guedj, Benjamin, Rivasplata, Omar, Shawe-Taylor, John |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
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 |
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