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]
@inproceedings{ClemenconP18,
title = {Beating Monte Carlo Integration: a Nonasymptotic Study of Kernel Smoothing Methods},
author = {Stéphan Clémençon and François Portier},
year = {2018},
url = {http://proceedings.mlr.press/v84/clemencon18a.html},
researchr = {https://researchr.org/publication/ClemenconP18},
cites = {0},
citedby = {0},
pages = {548-556},
booktitle = {International Conference on Artificial Intelligence and Statistics, AISTATS 2018, 9-11 April 2018, Playa Blanca, Lanzarote, Canary Islands, Spain},
editor = {Amos J. Storkey and Fernando Pérez-Cruz},
volume = {84},
series = {Proceedings of Machine Learning Research},
publisher = {PMLR},
}