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Preprints, Working Papers, ... Year : 2019

A Primer on PAC-Bayesian Learning

Abstract

Generalised Bayesian learning algorithms are increasingly popular in machine learning, due to their PAC generalisation 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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Dates and versions

hal-01983732 , version 1 (16-01-2019)
hal-01983732 , version 2 (21-04-2019)
hal-01983732 , version 3 (07-05-2019)

Identifiers

  • HAL Id : hal-01983732 , version 3

Cite

Benjamin Guedj. A Primer on PAC-Bayesian Learning. 2019. ⟨hal-01983732v3⟩
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