Beating Monte Carlo Integration: a Nonasymptotic Study of Kernel Smoothing Methods

Stéphan Clémençon, François Portier. Beating Monte Carlo Integration: a Nonasymptotic Study of Kernel Smoothing Methods. In Amos J. Storkey, Fernando Pérez-Cruz, editors, International Conference on Artificial Intelligence and Statistics, AISTATS 2018, 9-11 April 2018, Playa Blanca, Lanzarote, Canary Islands, Spain. Volume 84 of Proceedings of Machine Learning Research, pages 548-556, PMLR, 2018. [doi]

Abstract

Abstract is missing.