Robustly Learning General Mixtures of Gaussians

Bibliographic Details
Main Authors: Liu, Allen, Moitra, Ankur
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Format: Article
Language:English
Published: ACM 2023
Online Access:https://hdl.handle.net/1721.1/148662
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author Liu, Allen
Moitra, Ankur
author2 Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
author_facet Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Liu, Allen
Moitra, Ankur
author_sort Liu, Allen
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spelling mit-1721.1/1486622024-01-29T19:49:19Z Robustly Learning General Mixtures of Gaussians Liu, Allen Moitra, Ankur Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Statistics and Data Science Center (Massachusetts Institute of Technology) 2023-03-22T15:03:39Z 2023-03-22T15:03:39Z 2023-03-01T08:45:40Z Article http://purl.org/eprint/type/JournalArticle 0004-5411 https://hdl.handle.net/1721.1/148662 Liu, Allen and Moitra, Ankur. "Robustly Learning General Mixtures of Gaussians." Journal of the ACM. PUBLISHER_CC en http://dx.doi.org/10.1145/3583680 Journal of the ACM Creative Commons Attribution 4.0 International license https://creativecommons.org/licenses/by/4.0/ The author(s) application/pdf ACM ACM
spellingShingle Liu, Allen
Moitra, Ankur
Robustly Learning General Mixtures of Gaussians
title Robustly Learning General Mixtures of Gaussians
title_full Robustly Learning General Mixtures of Gaussians
title_fullStr Robustly Learning General Mixtures of Gaussians
title_full_unstemmed Robustly Learning General Mixtures of Gaussians
title_short Robustly Learning General Mixtures of Gaussians
title_sort robustly learning general mixtures of gaussians
url https://hdl.handle.net/1721.1/148662
work_keys_str_mv AT liuallen robustlylearninggeneralmixturesofgaussians
AT moitraankur robustlylearninggeneralmixturesofgaussians