Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Picard-Weibel A"'
Publikováno v:
Neurips 2024, Dec 2024, Vancouver, Canada
PAC-Bayes learning is a comprehensive setting for (i) studying the generalisation ability of learning algorithms and (ii) deriving new learning algorithms by optimising a generalisation bound. However, optimising generalisation bounds might not alway
Externí odkaz:
http://arxiv.org/abs/2410.10230
Publikováno v:
Bioresource Technology 2023
Uncertainty quantification is critical for ensuring adequate predictive power of computational models used in biology. Focusing on two anaerobic digestion models, this article introduces a novel generalized Bayesian procedure, called VarBUQ, ensuring
Externí odkaz:
http://arxiv.org/abs/2405.19824
We propose new change of measure inequalities based on $f$-divergences (of which the Kullback-Leibler divergence is a particular case). Our strategy relies on combining the Legendre transform of $f$-divergences and the Young-Fenchel inequality. By ex
Externí odkaz:
http://arxiv.org/abs/2202.05568