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International Workshop on Statistical Learning
June 27, 2013 11:30–12:00
 


Dimension free PAC-Bayes bounds and unsupervised classification

O. Catoni

Ècole Normale Supérieure, Département de mathématiques et applications, Paris
Supplementary materials:
Adobe PDF 389.7 Kb

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O. Catoni



Abstract: In this talk, I will present some dimension free PAC Bayes bounds and explain how they can be used to perform Principle Component Analysis and unsupervised clustering in high dimension.

Supplementary materials: catoni.pdf (389.7 Kb)

Language: English
 
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