| dc.contributor.author | Goldfeld, Ziv | |
| dc.contributor.author | Polyanskiy, Yury | |
| dc.date.accessioned | 2022-07-19T11:56:13Z | |
| dc.date.available | 2022-07-19T11:56:13Z | |
| dc.date.issued | 2020 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/143836 | |
| dc.language.iso | en | |
| dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en_US |
| dc.relation.isversionof | 10.1109/JSAIT.2020.2991561 | 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 | arXiv | en_US |
| dc.title | The Information Bottleneck Problem and Its Applications in Machine Learning | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Goldfeld, Ziv and Polyanskiy, Yury. 2020. "The Information Bottleneck Problem and Its Applications in Machine Learning." IEEE Journal on Selected Areas in Information Theory, 1 (1). | |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | |
| dc.relation.journal | IEEE Journal on Selected Areas in Information Theory | en_US |
| dc.eprint.version | Author's final manuscript | 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 | 2022-07-19T11:51:59Z | |
| dspace.orderedauthors | Goldfeld, Z; Polyanskiy, Y | en_US |
| dspace.date.submission | 2022-07-19T11:52:04Z | |
| mit.journal.volume | 1 | en_US |
| mit.journal.issue | 1 | en_US |
| mit.license | OPEN_ACCESS_POLICY | |
| mit.metadata.status | Authority Work and Publication Information Needed | en_US |
