A Primer on PAC-Bayesian Learning. Guedj, B. In Proceedings of the second congress of the French Mathematical Society, volume 33, 2019.
Paper
Arxiv
Pdf
Video abstract bibtex 1 download 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.
@inproceedings{guedj2019primer,
title={A Primer on {PAC-Bayesian} Learning},
author={Guedj, Benjamin},
booktitle={Proceedings of the second congress of the French Mathematical Society},
year={2019},
volume = {33},
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.",
url = "https://arxiv.org/abs/1901.05353",
url_arXiv = "https://arxiv.org/abs/1901.05353",
url_PDF = "https://arxiv.org/pdf/1901.05353.pdf",
url_Video = "https://youtu.be/6t_vojO8jLI",
keywords={mine}
}
Downloads: 1
{"_id":"Fr69rDDkW9GE6ZagA","bibbaseid":"guedj-aprimeronpacbayesianlearning-2019","author_short":["Guedj, B."],"bibdata":{"bibtype":"inproceedings","type":"inproceedings","title":"A Primer on PAC-Bayesian Learning","author":[{"propositions":[],"lastnames":["Guedj"],"firstnames":["Benjamin"],"suffixes":[]}],"booktitle":"Proceedings of the second congress of the French Mathematical Society","year":"2019","volume":"33","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.","url":"https://arxiv.org/abs/1901.05353","url_arxiv":"https://arxiv.org/abs/1901.05353","url_pdf":"https://arxiv.org/pdf/1901.05353.pdf","url_video":"https://youtu.be/6t_vojO8jLI","keywords":"mine","bibtex":"@inproceedings{guedj2019primer,\ntitle={A Primer on {PAC-Bayesian} Learning},\nauthor={Guedj, Benjamin},\nbooktitle={Proceedings of the second congress of the French Mathematical Society},\nyear={2019},\nvolume = {33},\nabstract = \"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.\",\nurl = \"https://arxiv.org/abs/1901.05353\",\nurl_arXiv = \"https://arxiv.org/abs/1901.05353\",\nurl_PDF = \"https://arxiv.org/pdf/1901.05353.pdf\",\nurl_Video = \"https://youtu.be/6t_vojO8jLI\",\nkeywords={mine}\n}\n\n","author_short":["Guedj, B."],"key":"guedj2019primer","id":"guedj2019primer","bibbaseid":"guedj-aprimeronpacbayesianlearning-2019","role":"author","urls":{"Paper":"https://arxiv.org/abs/1901.05353"," arxiv":"https://arxiv.org/abs/1901.05353"," pdf":"https://arxiv.org/pdf/1901.05353.pdf"," video":"https://youtu.be/6t_vojO8jLI"},"keyword":["mine"],"metadata":{"authorlinks":{}},"downloads":1,"html":""},"bibtype":"inproceedings","biburl":"https://bguedj.github.io/files/bguedj-publications.bib","dataSources":["suE7RgYeZEnSYr5Fy"],"keywords":["mine"],"search_terms":["primer","pac","bayesian","learning","guedj"],"title":"A Primer on PAC-Bayesian Learning","year":2019,"downloads":1}