| dc.contributor.author | Chen, Sitan | |
| dc.contributor.author | Li, Jerry | |
| dc.contributor.author | Song, Zhao | |
| dc.date.accessioned | 2022-11-09T16:36:46Z | |
| dc.date.available | 2022-11-09T16:36:46Z | |
| dc.date.issued | 2020-06-08 | |
| dc.identifier.isbn | 978-1-4503-6979-4 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/146232 | |
| dc.publisher | ACM|Proceedings of the 52nd Annual ACM SIGACT Symposium on Theory of Computing | en_US |
| dc.relation.isversionof | https://doi.org/10.1145/3357713.3384333 | 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 | ACM|Proceedings of the 52nd Annual ACM SIGACT Symposium on Theory of Computing | en_US |
| dc.title | Learning Mixtures of Linear Regressions in Subexponential Time via Fourier Moments | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Chen, Sitan, Li, Jerry and Song, Zhao. 2020. "Learning Mixtures of Linear Regressions in Subexponential Time via Fourier Moments." | |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | |
| dc.identifier.mitlicense | PUBLISHER_POLICY | |
| 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 | 2022-11-02T18:29:04Z | |
| dc.language.rfc3066 | en | |
| dc.rights.holder | ACM | |
| dspace.date.submission | 2022-11-02T18:29:04Z | |
| mit.license | PUBLISHER_POLICY | |
| mit.metadata.status | Authority Work and Publication Information Needed | en_US |
