English

A Primer on PAC-Bayesian Learning

Machine Learning 2020-02-06 v3 Machine 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.

Keywords

Cite

@article{arxiv.1901.05353,
  title  = {A Primer on PAC-Bayesian Learning},
  author = {Benjamin Guedj},
  journal= {arXiv preprint arXiv:1901.05353},
  year   = {2020}
}
R2 v1 2026-06-23T07:13:31.666Z