Beating Monte-Carlo Integration: a Nonparametric Study of Kernel Smoothing Methods

Stéphan Clémençon; François Portier

Conference papers

Beating Monte-Carlo Integration: a Nonparametric Study of Kernel Smoothing Methods

Stéphan Clémençon ^{1, 2} François Portier ^{1, 2}

1 S2A - Signal, Statistique et Apprentissage

LTCI - Laboratoire Traitement et Communication de l'Information

2 IDS - Département Images, Données, Signal

Document type :

Conference papers

Domain :

Mathematics [math] / Statistics [math.ST]

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Submitted on : Friday, September 13, 2019 - 5:06:47 PM
Last modification on : Wednesday, November 3, 2021 - 6:20:59 AM

Beating Monte-Carlo Integration: a Nonparametric Study of Kernel Smoothing Methods

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Beating Monte-Carlo Integration: a Nonparametric Study of Kernel Smoothing Methods

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