| dc.contributor.author | Farias, Vivek F | |
| dc.contributor.author | Li, Andrew A | |
| dc.contributor.author | Peng, Tianyi | |
| dc.date.accessioned | 2022-07-29T13:28:28Z | |
| dc.date.available | 2022-07-29T13:28:28Z | |
| dc.date.issued | 2021 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/144120 | |
| dc.language.iso | en | |
| dc.relation.isversionof | https://proceedings.mlr.press/v139/farias21a.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 | Near-Optimal Entrywise Anomaly Detection for Low-Rank Matrices with Sub-Exponential Noise | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Farias, Vivek F, Li, Andrew A and Peng, Tianyi. 2021. "Near-Optimal Entrywise Anomaly Detection for Low-Rank Matrices with Sub-Exponential Noise." INTERNATIONAL CONFERENCE ON MACHINE LEARNING, VOL 139, 139. | |
| dc.contributor.department | Sloan School of Management | |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Aeronautics and Astronautics | |
| dc.relation.journal | INTERNATIONAL CONFERENCE ON MACHINE LEARNING, VOL 139 | en_US |
| dc.eprint.version | Final published version | en_US |
| dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
| eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
| dc.date.updated | 2022-07-29T13:19:15Z | |
| dspace.orderedauthors | Farias, VF; Li, AA; Peng, T | en_US |
| dspace.date.submission | 2022-07-29T13:19:19Z | |
| mit.journal.volume | 139 | en_US |
| mit.license | PUBLISHER_POLICY | |
| mit.metadata.status | Authority Work and Publication Information Needed | en_US |
