OxCSML Seminar: Benjamin Guedj, PAC-Bayesian learning

Oxford Computational Statistics and Machine Learning Group

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

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.

References: https://bguedj.github.io/publications/#, and our ICML 2019 tutorial https://bguedj.github.io/icml2019/index.html

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OxCSML Seminar: Benjamin Guedj, PAC-Bayesian learning

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OxCSML Seminar: Benjamin Guedj, PAC-Bayesian learning

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