Department of Statistics
A primer on PAC-Bayesian learning *followed by* News from the PAC-Bayes frontline
28 May 2021
Benjamin Guedj, University College London, gives a OxCSML Seminar on 26th March 2021. Abstract: PAC-Bayes is a generic and flexible framework to address generalisation abilities of machine learning algorithms. It leverages the power of Bayesian inference and allows to derive new learning strategies. I will briefly present the key concepts of PAC-Bayes and highlight a few recent contributions from my group.
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3ª PARTE | 17 DIC 2025 | EL PARTIDAZO DE COPE
01 Jan 1970
El Partidazo de COPE
13:00H | 21 DIC 2025 | Fin de Semana
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13:00H | 20 DIC 2025 | Fin de Semana
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12:00H | 20 DIC 2025 | Fin de Semana
01 Jan 1970
Fin de Semana