| dc.contributor.author | Ma, Y | |
| dc.contributor.author | Nowak, R | |
| dc.contributor.author | Rigollet, P | |
| dc.contributor.author | Zhang, X | |
| dc.contributor.author | Zhu, X | |
| dc.date.accessioned | 2021-11-01T18:39:14Z | |
| dc.date.available | 2021-11-01T18:39:14Z | |
| dc.date.issued | 2018 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/137038 | |
| dc.description.abstract | Copyright 2018 by the author(s). We call a learner super-teachable if a teacher can trim down an iid training set while making the learner learn even better. We provide sharp super-teaching guarantees on two learners: the maximum likelihood estimator for the mean of a Gaussian, and the large margin classifier in 1D. For general learners, we provide a mixed-integer nonlinear programming-based algorithm to find a super teaching set. Empirical experiments show that our algorithm is able to find good super-teaching sets for both regression and classification problems. | en_US |
| dc.language.iso | en | |
| dc.relation.isversionof | http://proceedings.mlr.press/v84/ma18a.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 | Teacher improves learning by selecting a training subset | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Ma, Y, Nowak, R, Rigollet, P, Zhang, X and Zhu, X. 2018. "Teacher improves learning by selecting a training subset." International Conference on Artificial Intelligence and Statistics, AISTATS 2018, 84. | |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Mathematics | |
| dc.relation.journal | International Conference on Artificial Intelligence and Statistics, AISTATS 2018 | 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 | 2021-05-26T13:09:34Z | |
| dspace.orderedauthors | Ma, Y; Nowak, R; Rigollet, P; Zhang, X; Zhu, X | en_US |
| dspace.date.submission | 2021-05-26T13:09:35Z | |
| mit.journal.volume | 84 | en_US |
| mit.license | PUBLISHER_POLICY | |
| mit.metadata.status | Authority Work and Publication Information Needed | en_US |
