| dc.contributor.author | Gupte, Aparna | |
| dc.contributor.author | Vafa, Neekon | |
| dc.contributor.author | Vaikuntanathan, Vinod | |
| dc.date.accessioned | 2023-02-17T13:18:35Z | |
| dc.date.available | 2023-02-17T13:18:35Z | |
| dc.date.issued | 2022-10 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/148100 | |
| dc.publisher | IEEE | en_US |
| dc.relation.isversionof | 10.1109/focs54457.2022.00112 | en_US |
| dc.rights | Creative Commons Attribution-Noncommercial-Share Alike | en_US |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | en_US |
| dc.source | Neekon Vafa | en_US |
| dc.title | Continuous LWE is as Hard as LWE & Applications to Learning Gaussian Mixtures | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Gupte, Aparna, Vafa, Neekon and Vaikuntanathan, Vinod. 2022. "Continuous LWE is as Hard as LWE & Applications to Learning Gaussian Mixtures." 2022 IEEE 63rd Annual Symposium on Foundations of Computer Science (FOCS). | |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | en_US |
| dc.relation.journal | 2022 IEEE 63rd Annual Symposium on Foundations of Computer Science (FOCS) | en_US |
| dc.eprint.version | Author's final manuscript | en_US |
| dc.type.uri | http://purl.org/eprint/type/ConferencePaper | en_US |
| eprint.status | http://purl.org/eprint/status/NonPeerReviewed | en_US |
| dspace.date.submission | 2022-01-31T03:56:23Z | |
| mit.license | OPEN_ACCESS_POLICY | |
| mit.metadata.status | Authority Work and Publication Information Needed | en_US |
