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A Convex Relaxation-Based Spatial Branching Approach for Optimal Robust Group Testing Designs Under Prevalence Rate and Dilution Behavior Uncertainty
- Su Li
  Corresponding Author
  Su Li
  [email protected]
  https://orcid.org/0000-0002-5758-2764
  Department of Industrial and Systems Engineering, Texas A&M University, College Station, Texas 77840
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  ,
- Hrayer Aprahamian
  Hrayer Aprahamian
  [email protected]
  https://orcid.org/0000-0002-8750-2366
  Department of Industrial and Systems Engineering, Texas A&M University, College Station, Texas 77840
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- Sohom Chatterjee
  Sohom Chatterjee
  [email protected]
  https://orcid.org/0000-0002-5784-9262
  Department of Industrial and Systems Engineering, Texas A&M University, College Station, Texas 77840
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Published Online:June 3, 2026
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Abstract
Group testing is a widely adopted strategy for screening large populations for infectious diseases. Its efficiency is heavily influenced by the prevalence rate and the dilution effect of pooling, a phenomenon in which test accuracy deteriorates for large ...
Systemic Fairness and College Admissions
- Arindam Ray
  Corresponding Author
  Arindam Ray
  [email protected]
  https://orcid.org/0000-0001-7706-9629
  Bryan School of Business and Economics, University of North Carolina Greensboro, Greensboro, North Carolina 27412
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- Balaji Padmanabhan
  Balaji Padmanabhan
  [email protected]
  https://orcid.org/0000-0002-3498-0778
  Robert H. Smith School of Business, University of Maryland, College Park, Maryland 20742
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- Lina Bouayad
  Lina Bouayad
  [email protected]
  https://orcid.org/0000-0001-9999-4989
  Applina, Tampa, Florida 33647
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Published Online:June 2, 2026
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Abstract
The increasing volume and complexity of applications to some institutions may make artificial intelligence (AI) a useful tool in college admission process. However, the integration of AI also raises concerns about fairness, particularly across ...
Kernel-Based Distributed Q-Learning: A Scalable Reinforcement Learning Approach for Dynamic Treatment Regimes
- Di Wang
  Di Wang
  [email protected]
  https://orcid.org/0000-0003-0435-0609
  Center for Intelligent Decision-Making and Machine Learning, School of Management, Xi’an Jiaotong University, Xi’an 710049, China
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- Yao Wang
  Yao Wang
  [email protected]
  https://orcid.org/0000-0003-4207-5273
  Center for Intelligent Decision-Making and Machine Learning, School of Management, Xi’an Jiaotong University, Xi’an 710049, China
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- Shao-Bo Lin
  Corresponding Author
  Shao-Bo Lin
  [email protected]
  https://orcid.org/0000-0001-5122-9153
  Center for Intelligent Decision-Making and Machine Learning, School of Management, Xi’an Jiaotong University, Xi’an 710049, China
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Published Online:June 2, 2026
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Abstract
In recent years, large amounts of electronic health records (EHRs) concerning chronic diseases have been collected to facilitate medical diagnosis. Modeling the dynamic properties of EHRs related to chronic diseases can be efficiently done using dynamic ...
Assortment Optimization with General Linear Constraints Under the Paired Combinatorial Logit Choice Model
- Jianguang Feng
  Jianguang Feng
  [email protected]
  https://orcid.org/0000-0003-4927-9025
  School of Management, Northwestern Polytechnical University, Xi’an 710072, China
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  ,
- Ada Che
  Ada Che
  [email protected]
  https://orcid.org/0000-0002-8133-4058
  School of Management, Northwestern Polytechnical University, Xi’an 710072, China
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  ,
- Zhi-Long Chen
  Corresponding Author
  Zhi-Long Chen
  [email protected]
  https://orcid.org/0000-0002-9960-0465
  Robert H. Smith School of Business, University of Maryland, College Park, Maryland 20742
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Published Online:May 28, 2026
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Abstract
We consider the assortment optimization problem under general linear constraints, where the customer choice behavior is governed by the paired combinatorial logit model. In the literature, only the unconstrained problem and the problem with constraints ...
Informative Path Planning with Limited Adaptivity
- Rayen Tan
  Corresponding Author
  Rayen Tan
  [email protected]
  https://orcid.org/0009-0005-0624-9987
  Department of Industrial and Operations Engineering, University of Michigan, Ann Arbor, Michigan 48109
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- Rohan Ghuge
  Rohan Ghuge
  [email protected]
  https://orcid.org/0000-0002-4681-9121
  Department of Information, Risk, and Operations Management, McCombs School of Business, University of Texas at Austin, Austin, Texas 78712
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  ,
- Viswanath Nagarajan
  Viswanath Nagarajan
  [email protected]
  https://orcid.org/0000-0002-9514-5581
  Department of Industrial and Operations Engineering, University of Michigan, Ann Arbor, Michigan 48109
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Published Online:May 27, 2026
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Abstract
We study a stochastic vehicle routing problem arising in robotics, the informative path planning problem (IPP). In this problem, a robot needs to gather information in an uncertain environment by visiting various locations. The goal is to minimize the ...

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