Summary: Context McAllester's pioneering work The different PAC-Bayes bounds Main ideas in Chap.1 Application to linear least squares
PAC-Bayesian bounds
Jean-Yves Audibert1,2
1. Imagine - Université Paris Est,
2. Willow - CNRS/ENS/INRIA
July 2009
Context McAllester's pioneering work The different PAC-Bayes bounds Main ideas in Chap.1 Application to linear least squares
Outline
1 Context
2 McAllester's pioneering work
3 The different PAC-Bayes bounds
Seeger's PAC Bayesian bound
Catoni's old PAC Bayesian bound
Audibert's PAC Bayesian bound
Zhang's PAC Bayesian bound
4 Main ideas in Chap.1
5 Application to linear least squares
Framework
Variants of known results
New results

Source: Audibert, Jean-Yves - Département d'Informatique, École Normale Supérieure

Collections: Computer Technologies and Information Sciences