Nearly tight sample complexity bounds for learning mixtures of Gaussians via sample compression schemes. Ashtiani, H., Ben-David, S., Harvey, N. J. A., Liaw, C., Mehrabian, A., & Plan, Y. In Bengio, S., Wallach, H. M., Larochelle, H., Grauman, K., Cesa-Bianchi, N., & Garnett, R., editors, Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, December 3-8, 2018, Montréal, Canada, pages 3416–3425, 2018. Paper bibtex @inproceedings{DBLP:conf/nips/AshtianiBHLMP18,
author = {Hassan Ashtiani and
Shai Ben{-}David and
Nicholas J. A. Harvey and
Christopher Liaw and
Abbas Mehrabian and
Yaniv Plan},
editor = {Samy Bengio and
Hanna M. Wallach and
Hugo Larochelle and
Kristen Grauman and
Nicol{\`{o}} Cesa{-}Bianchi and
Roman Garnett},
title = {Nearly tight sample complexity bounds for learning mixtures of Gaussians
via sample compression schemes},
booktitle = {Advances in Neural Information Processing Systems 31: Annual Conference
on Neural Information Processing Systems 2018, NeurIPS 2018, December
3-8, 2018, Montr{\'{e}}al, Canada},
pages = {3416--3425},
year = {2018},
url = {https://proceedings.neurips.cc/paper/2018/hash/70ece1e1e0931919438fcfc6bd5f199c-Abstract.html},
timestamp = {Thu, 21 Jan 2021 15:15:20 +0100},
biburl = {https://dblp.org/rec/conf/nips/AshtianiBHLMP18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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