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.
- Publication:
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arXiv e-prints
- Pub Date:
- January 2019
- DOI:
- 10.48550/arXiv.1901.05353
- arXiv:
- arXiv:1901.05353
- Bibcode:
- 2019arXiv190105353G
- Keywords:
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- Statistics - Machine Learning;
- Computer Science - Machine Learning
- E-Print:
- Proceedings of the 2nd congress of the Soci\'et\'e Math\'ematique de France, 2019, pp. 391--414