Does data interpolation contradict statistical optimality?

© 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.

书目详细资料
主要作者: Rakhlin, Alexander
其他作者: Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
格式: 文件
语言:English
出版: International Machine Learning Society 2021
在线阅读:https://hdl.handle.net/1721.1/138307.3