A Primer on PAC-Bayesian Learning

01/16/2019
by   Benjamin Guedj, et al.
0

Generalized Bayesian learning algorithms are increasingly popular in machine learning, due to their PAC generalization properties and flexibility. The present paper aims at providing a self-contained survey on the resulting PAC-Bayes framework and some of its main theoretical and algorithmic developments.

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