dc.contributor.author | Turner, Paxton | |
dc.contributor.author | Liu, Jingbo | |
dc.contributor.author | Rigollet, Philippe | |
dc.date.accessioned | 2022-10-14T15:45:06Z | |
dc.date.available | 2022-10-14T15:45:06Z | |
dc.date.issued | 2021 | |
dc.identifier.uri | https://hdl.handle.net/1721.1/145834 | |
dc.language.iso | en | |
dc.relation.isversionof | https://proceedings.mlr.press/v130/turner21b.html | en_US |
dc.rights | Article 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.source | Proceedings of Machine Learning Research | en_US |
dc.title | A Statistical Perspective on Coreset Density Estimation | en_US |
dc.type | Article | en_US |
dc.identifier.citation | Turner, 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.department | Massachusetts Institute of Technology. Department of Mathematics | en_US |
dc.relation.journal | 24TH INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND STATISTICS (AISTATS) | en_US |
dc.eprint.version | Final published version | en_US |
dc.type.uri | http://purl.org/eprint/type/ConferencePaper | en_US |
eprint.status | http://purl.org/eprint/status/NonPeerReviewed | en_US |
dc.date.updated | 2022-10-14T15:40:30Z | |
dspace.orderedauthors | Turner, P; Liu, J; Rigollet, P | en_US |
dspace.date.submission | 2022-10-14T15:40:31Z | |
mit.journal.volume | 130 | en_US |
mit.license | PUBLISHER_POLICY | |
mit.metadata.status | Authority Work and Publication Information Needed | en_US |