REPR: Rule-Enhanced Penalized Regression-Reference-Cited by-同舟云学术

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REPR: Rule-Enhanced Penalized Regression

Published:2019-04 Issue:2 Volume:1 Page:143-163
ISSN:2575-1484
Container-title:INFORMS Journal on Optimization
language:en
Short-container-title:INFORMS Journal on Optimization

Author:

Eckstein Jonathan¹^ORCID,Kagawa Ai²^ORCID,Goldberg Noam³^ORCID

Affiliation:

1. Department of Management Science and Information Systems and RUTCOR, Rutgers Business School Newark and New Brunswick, Rutgers University, Piscataway, New Jersey 08854

2. Computational Science Initiative, Brookhaven National Laboratory, Upton, New York 11973

3. Department of Management, Bar Ilan University, 5290002 Ramat Gan, Israel

Publisher

Institute for Operations Research and the Management Sciences (INFORMS)

Subject

General Medicine

Reference29 articles.

1. Programming pearls

2. Optimal classification trees

3. Boosting for high-dimensional linear models

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Convexifying multilinear sets with cardinality constraints: Structural properties, nested case and extensions;Discrete Optimization;2023-11

2. Multilinear sets with two monomials and cardinality constraints;Discrete Applied Mathematics;2023-01

3. Continuous black-box optimization with an Ising machine and random subspace coding;Physical Review Research;2022-04-21

4. Cardinality Constrained Multilinear Sets;Lecture Notes in Computer Science;2020

5. Machine Learning and Optimization: Introduction to the Special Issue;INFORMS Journal on Optimization;2019-04

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