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A Primer on PAC-Bayesian Learning
lib:f434faacd94f4f15 (v1.0.0)
Authors: Benjamin Guedj
ArXiv: 1901.05353
Document: PDF DOI
Abstract URL: https://arxiv.org/abs/1901.05353v3
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.
ArXiv: 1901.05353
Document: PDF DOI
Abstract URL: https://arxiv.org/abs/1901.05353v3
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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