A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
A Primer on PAC-Bayesian Learning
[article]
2019
arXiv
pre-print
Preserved Fulltext
Other Versions
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:1901.05353v3
fatcat:vy73fwwanvfofbp3azhsrdq5v4