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A primer on PAC-Bayesian learning *followed by* News from the PAC-Bayes frontline

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Duration: 0:59:06 | Added: 28 May 2021
Loading Video...
Duration: 0:59:06 | Added: 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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