A theory of high dimensional regression with arbitrary correlations between input features and target functions: sample complexity, multiple descent curves and a hierarchy of phase transitions.
G. Mel, and S. Ganguli. ICML, volume 139 of Proceedings of Machine Learning Research, page 7578-7587. PMLR, (2021)
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%0 Conference Paper
%1 conf/icml/MelG21
%A Mel, Gabriel
%A Ganguli, Surya
%B ICML
%D 2021
%E Meila, Marina
%E Zhang, Tong
%I PMLR
%K dblp
%P 7578-7587
%T A theory of high dimensional regression with arbitrary correlations between input features and target functions: sample complexity, multiple descent curves and a hierarchy of phase transitions.
%U http://dblp.uni-trier.de/db/conf/icml/icml2021.html#MelG21
%V 139
@inproceedings{conf/icml/MelG21,
added-at = {2021-08-25T00:00:00.000+0200},
author = {Mel, Gabriel and Ganguli, Surya},
biburl = {https://www.bibsonomy.org/bibtex/2a407567b08349f017af2098363fb87dc/dblp},
booktitle = {ICML},
crossref = {conf/icml/2021},
editor = {Meila, Marina and Zhang, Tong},
ee = {http://proceedings.mlr.press/v139/mel21a.html},
interhash = {e7638b77681ad8efd4d54538cd82902d},
intrahash = {a407567b08349f017af2098363fb87dc},
keywords = {dblp},
pages = {7578-7587},
publisher = {PMLR},
series = {Proceedings of Machine Learning Research},
timestamp = {2024-04-10T01:44:00.000+0200},
title = {A theory of high dimensional regression with arbitrary correlations between input features and target functions: sample complexity, multiple descent curves and a hierarchy of phase transitions.},
url = {http://dblp.uni-trier.de/db/conf/icml/icml2021.html#MelG21},
volume = 139,
year = 2021
}