Abstract
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.
| Original language | English |
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| Publication status | Published - 1 Jan 2019 |
| Externally published | Yes |
| Event | 22nd International Conference on Artificial Intelligence and Statistics, AISTATS 2019 - Naha, Japan Duration: 16 Apr 2019 → 18 Apr 2019 |
Conference
| Conference | 22nd International Conference on Artificial Intelligence and Statistics, AISTATS 2019 |
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| Country/Territory | Japan |
| City | Naha |
| Period | 16/04/19 → 18/04/19 |