Does data interpolation contradict statistical optimality?
Name
belkin19a.pdf
Description
Published version
Size
479.21 KB
Format
Unknown
Checksum (MD5)
eae6a3100d8ef2f91170702e78463fec
Author(s)
Rakhlin, Alexander
Date Issued
April 1, 2019
Journal
AISTATS 2019 - 22nd International Conference on Artificial Intelligence and Statistics
Publisher
International Machine Learning Society
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.
Version
Final published version
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.
MIT Department
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Terms of Use
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.
Persistent DSpace Link
DOI of Published Version
https://proceedings.mlr.press/v89/belkin19a.html
