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Robustly Learning General Mixtures of Gaussians

dc.contributor.authorLiu, Allen
dc.contributor.authorMoitra, Ankur
dc.date.accessioned2023-03-22T15:03:39Z
dc.date.available2023-03-22T15:03:39Z
dc.identifier.issn0004-5411
dc.identifier.urihttps://hdl.handle.net/1721.1/148662
dc.publisherACMen_US
dc.relation.isversionofhttp://dx.doi.org/10.1145/3583680en_US
dc.rightsCreative Commons Attribution 4.0 International licenseen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceACMen_US
dc.titleRobustly Learning General Mixtures of Gaussiansen_US
dc.typeArticleen_US
dc.identifier.citationLiu, Allen and Moitra, Ankur. "Robustly Learning General Mixtures of Gaussians." Journal of the ACM.
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
dc.contributor.departmentStatistics and Data Science Center (Massachusetts Institute of Technology)
dc.relation.journalJournal of the ACMen_US
dc.identifier.mitlicensePUBLISHER_CC
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2023-03-01T08:45:40Z
dc.language.rfc3066en
dc.rights.holderThe author(s)
dspace.date.submission2023-03-01T08:45:41Z
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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