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dc.contributor.authorTurner, Paxton
dc.contributor.authorLiu, Jingbo
dc.contributor.authorRigollet, Philippe
dc.date.accessioned2022-10-14T15:45:06Z
dc.date.available2022-10-14T15:45:06Z
dc.date.issued2021
dc.identifier.urihttps://hdl.handle.net/1721.1/145834
dc.language.isoen
dc.relation.isversionofhttps://proceedings.mlr.press/v130/turner21b.htmlen_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceProceedings of Machine Learning Researchen_US
dc.titleA Statistical Perspective on Coreset Density Estimationen_US
dc.typeArticleen_US
dc.identifier.citationTurner, Paxton, Liu, Jingbo and Rigollet, Philippe. 2021. "A Statistical Perspective on Coreset Density Estimation." 24TH INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND STATISTICS (AISTATS), 130.
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mathematicsen_US
dc.relation.journal24TH INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND STATISTICS (AISTATS)en_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2022-10-14T15:40:30Z
dspace.orderedauthorsTurner, P; Liu, J; Rigollet, Pen_US
dspace.date.submission2022-10-14T15:40:31Z
mit.journal.volume130en_US
mit.licensePUBLISHER_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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