Decomposition and Adaptive Sampling for Data-Driven Inverse Linear Optimization

Rishabh Gupta
Rishabh Gupta
[email protected]
Department of Chemical Engineering and Materials Science, University of Minnesota, Minneapolis, Minnesota 55455
Search for more papers by this author
,
Qi Zhang
Qi Zhang
[email protected]
https://orcid.org/0000-0001-8862-4675
Department of Chemical Engineering and Materials Science, University of Minnesota, Minneapolis, Minnesota 55455
Search for more papers by this author

Rishabh Gupta

[email protected]

Department of Chemical Engineering and Materials Science, University of Minnesota, Minneapolis, Minnesota 55455

Search for more papers by this author

Qi Zhang

[email protected]

https://orcid.org/0000-0001-8862-4675

Department of Chemical Engineering and Materials Science, University of Minnesota, Minneapolis, Minnesota 55455

Search for more papers by this author

Published Online:8 Jun 2022https://doi.org/10.1287/ijoc.2022.1162

Supplemental Material

Online Supplement: ijoc.2022.1162.sm1.pdf

Code and Data Repository: ijoc.2022.1162.cd.zip

cover image INFORMS Journal on Computing

Volume 34, Issue 5

September-October 2022

Pages 2383-2865, C2

Article Information

Supplemental Material

Metrics

Information

Received:September 27, 2020
Accepted:December 14, 2021
Published Online:June 08, 2022

Cite as

Rishabh Gupta, Qi Zhang (2022) Decomposition and Adaptive Sampling for Data-Driven Inverse Linear Optimization. INFORMS Journal on Computing 34(5):2720-2735.

https://doi.org/10.1287/ijoc.2022.1162

Keywords

PDF download

Available Issues

Available Issues

Available Issues

Available Issues

Available Issues

Available Issues

Decomposition and Adaptive Sampling for Data-Driven Inverse Linear Optimization

Supplemental Material

Volume 34, Issue 5

Article Information

Supplemental Material

Metrics

Information

Cite as

Keywords

Sign Up for INFORMS Publications Updates and News