catoni_draft2.pdf
ocatoni.perso.math.cnrs.fr · 8,939 words · saved by 1 readers
N/A
PAC-BAYESIAN SUPERVISED CLASSIFICATION (The thermodynamics of statistical learning) Olivier Catoni August 10, 2007 Abstract: This monograph deals with adaptive supervised classification, using tools borrowed from statistical mechanics and information theory, stemming from the PAC-Bayesian approach pioneered by David McAllester and applied to a conception of statistical learning theory forged by Vladimir Vapnik. Using convex analysis on the set of posterior probability measures, we show how to get local measures…
saved by
related reading
- [2407.19777] Revisiting Agnostic PAC Learningarxiv.org
- Majority-of-Three: The Simplest Optimal Learner?proceedings.mlr.press
- arxiv.org/pdf/1805.08522arxiv.org
- Support vector machine - Wikipediaen.wikipedia.org
- understanding-machine-learning-theory-algorithms.pdfcs.huji.ac.il
- Bayesian Neural Networkscs.toronto.edu
- A Course in Machine Learningciml.info
- Kearns-Vairani-1994-Introduction-to-Computational-Learning-Thoery-Ch01.pdfjeffreyheinz.net
- Gregory Gundersengregorygundersen.com
- deeplearningbook.org/contents/ml.htmldeeplearningbook.org
- Statistical learning theory - Wikipediaen.wikipedia.org
- 6.036_notes.pdfphillipi.github.io