High-Dimensional Learning Under Approximate Sparsity with Applications to Nonsmooth Estimation and Regularized Neural Networks
Published Online:23 Mar 2022https://doi.org/10.1287/opre.2021.2217
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Volume 70, Issue 6
November-December 2022
Pages iii-vii, 3035-3628, C2-C3
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- Received:March 01, 2019
- Accepted:October 13, 2021
- Published Online:March 23, 2022
Copyright © 2022, INFORMS
Cite as
Hongcheng Liu, Yinyu Ye, Hung Yi Lee (2022) High-Dimensional Learning Under Approximate Sparsity with Applications to Nonsmooth Estimation and Regularized Neural Networks. Operations Research 70(6):3176-3197.
https://doi.org/10.1287/opre.2021.2217
Keywords
H. Liu thanks Dr. Horst Samulowitz and Dr. Meinolf Sellmann at IBM T. J. Watson Research Center for helpful discussions when this author was working as their student intern in 2014. The authors thank Dr. Zhiguang Huo and Mr. Jun Deng at the University of Florida for valuable discussions and comments.
