End-to-end Bayesian Learning Methods / Solutions de bout-en-bout en apprentissage Bayésien

Collection End-to-end Bayesian Learning Methods / Solutions de bout-en-bout en apprentissage Bayésien

Organizer(s) Cleynen, Alice ; Gloaguen, Pierre ; Le Corff, Sylvain ; Mira, Antonietta ; Stoehr, Julien
Date(s) 25/10/2021 - 29/10/2021
linked URL https://conferences.cirm-math.fr/2417.html
00:00:00 / 00:00:00
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A tutorial on Bayesian machine learning: what, why and how - lecture 2

By Rémi Bardenet

This is a tutorial on Bayesian statistics and machine learning. We will cover what Bayesian learning is, why different subschools of Bayesians arose, and the major classes of algorithms that implement Bayesian learning.

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Citation data

  • DOI 10.24350/CIRM.V.19825103
  • Cite this video Bardenet, Rémi (26/10/2021). A tutorial on Bayesian machine learning: what, why and how - lecture 2. CIRM. Audiovisual resource. DOI: 10.24350/CIRM.V.19825103
  • URL https://dx.doi.org/10.24350/CIRM.V.19825103

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