BO4IO: A Bayesian optimization approach to inverse optimization with uncertainty quantification-Reference-Cited by-同舟云学术

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BO4IO: A Bayesian optimization approach to inverse optimization with uncertainty quantification

Published:2025-01 Issue: Volume:192 Page:108859
ISSN:0098-1354
Container-title:Computers & Chemical Engineering
language:en
Short-container-title:Computers & Chemical Engineering

Author:

Lu Yen-An^ORCID,Hu Wei-Shou,Paulson Joel A.^ORCID,Zhang Qi^ORCID

Funder

University of Minnesota

Minnesota Supercomputing Institute, University of Minnesota

National Science Foundation

Publisher

Elsevier BV

Reference92 articles.

1. Inverse optimization;Ahuja;Oper. Res.,2001

2. Objective selection for cancer treatment: An inverse optimization approach;Ajayi;Oper. Res.,2022

3. Inverse optimization with noisy data;Aswani;Oper. Res.,2018

4. Using confidence bounds for exploitation-exploration trade-offs;Auer;J. Mach. Learn. Res.,2002

5. BoTorch: A framework for efficient Monte-Carlo Bayesian optimization;Balandat;Adv. Neural Inf. Process. Syst.,2020

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