Smoothed discrepancy principle as an early ...

Document type :
Autre communication scientifique (congrès sans actes - poster - séminaire...): Communication dans un congrès avec actes
Title :
Smoothed discrepancy principle as an early stopping rule in RKHS
Author(s) :
Averyanov, Yaroslav [Auteur]
Inria Lille - Nord Europe
Celisse, Alain [Auteur]
Inria Lille - Nord Europe
Laboratoire Paul Painlevé - UMR 8524 [LPP]
Conference title :
51es Journées de Statistique
City :
Nancy
Country :
France
Start date of the conference :
2019-06
English keyword(s) :
Non-parametric regression
Regularization
Kernels
Stopping rules
regularization
kernels
stopping rules
HAL domain(s) :
Statistiques [stat]
Statistiques [stat]/Machine Learning [stat.ML]
English abstract : [en]
In this paper we work on the estimation of a regression function that belongs to a polynomial decay reproducing kernel Hilbert space (RKHS). We describe spectral filter framework for our estimator that allows us to deal ...
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Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Collections :
Source :
Harvested from HAL
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