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Dimension free PAC-Bayes bounds and unsupervised classification

O. Catoni

Ècole Normale Supérieure, Département de mathématiques et applications, Paris


https://www.youtube.com/watch?v=tg-L796d_Xk

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.

Language: English


© Steklov Math. Inst. of RAS, 2024