| dc.contributor.author | Rakhlin, Alexander | |
| dc.date.accessioned | 2021-12-08T13:51:14Z | |
| dc.date.available | 2021-12-03T15:23:42Z | |
| dc.date.available | 2021-12-06T13:42:49Z | |
| dc.date.available | 2021-12-08T13:51:14Z | |
| dc.date.issued | 2019-04-01 | |
| dc.identifier.issn | 2640-3498 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/138307.3 | |
| dc.description.abstract | © 2019 by the author(s). We show that classical learning methods interpolating the training data can achieve optimal rates for the problems of nonparametric regression and prediction with square loss. | en_US |
| dc.language.iso | en | |
| dc.publisher | International Machine Learning Society | en_US |
| dc.relation.isversionof | https://proceedings.mlr.press/v89/belkin19a.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 | Does data interpolation contradict statistical optimality? | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Belkin, M, Rakhlin, A and Tsybakov, AB. 2020. "Does data interpolation contradict statistical optimality?." AISTATS 2019 - 22nd International Conference on Artificial Intelligence and Statistics, 89. | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences | |
| dc.relation.journal | AISTATS 2019 - 22nd International Conference on Artificial Intelligence and Statistics | 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 | 2021-12-03T15:12:02Z | |
| dspace.orderedauthors | Belkin, M; Rakhlin, A; Tsybakov, AB | en_US |
| dspace.date.submission | 2021-12-03T15:12:03Z | |
| mit.journal.volume | 89 | en_US |
| mit.license | PUBLISHER_POLICY | |
| mit.metadata.status | Ready for Final Review | en_US |
