The Analytics of Robust Satisficing: Predict, Optimize, Satisfice, Then Fortify

• Melvyn Sim

  Melvyn Sim

  Department of Analytics & Operations (DAO), NUS Business School, National University of Singapore, Singapore 119245;

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  ,
• Qinshen Tang

  Qinshen Tang

  Division of Information Technology and Operations Management, Nanyang Business School, Nanyang Technological University, Singapore 639956;

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  ,
• Minglong Zhou

  Minglong Zhou

  Department of Management Science, School of Management, Fudan University, Shanghai 200433, China;

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  ,
• Taozeng Zhu

  Corresponding Author

  Taozeng Zhu

  [email protected]

  https://orcid.org/0000-0003-2202-9261

  Institute of Supply Chain Analytics, Dongbei University of Finance and Economics, Dalian 116025, China

  Correspondence

  Taozeng Zhu, Institute of Supply Chain Analytics, Dongbei University of Finance and Economics, Dalian 116025, China

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Published Online:October 7, 2024

Distributionally Constrained Black-Box Stochastic Gradient Estimation and Optimization

• Henry Lam

  Corresponding Author

  Henry Lam

  [email protected]

  https://orcid.org/0000-0002-3193-563X

  Department of Industrial Engineering and Operations Research, Columbia University, New York, New York 10027;

  Correspondence

  Henry Lam, Department of Industrial Engineering and Operations Research, Columbia University, New York, New York 10027;

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• Junhui Zhang

  Junhui Zhang

  Department of Applied Physics and Applied Mathematics, Columbia University, New York, New York 10027

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Published Online:October 3, 2024

Ranking and Contextual Selection

• Gregory Keslin

  Corresponding Author

  Gregory Keslin

  [email protected]

  https://orcid.org/0009-0004-2615-251X

  Department of Industrial Engineering and Management Sciences, Northwestern University, Evanston, Illinois 60208;

  Correspondence

  Gregory Keslin, Department of Industrial Engineering and Management Sciences, Northwestern University, Evanston, Illinois 60208;

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• Barry L. Nelson

  Barry L. Nelson

  Department of Industrial Engineering and Management Sciences, Northwestern University, Evanston, Illinois 60208;

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• Bernardo Pagnoncelli

  Bernardo Pagnoncelli

  SKEMA Business School, Université Côte d’Azur, 59777 Lille, France;

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• Matthew Plumlee

  Matthew Plumlee

  Amazon, Seattle, Washington 98109;

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• Hamed Rahimian

  Hamed Rahimian

  Department of Industrial Engineering, Clemson University, Clemson, South Carolina 29634

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Published Online:October 3, 2024

Learning in Inverse Optimization: Incenter Cost, Augmented Suboptimality Loss, and Algorithms

• Pedro Zattoni Scroccaro

  Corresponding Author

  Pedro Zattoni Scroccaro

  [email protected]

  https://orcid.org/0000-0002-6752-6328

  Delft Center of Systems and Control, Delft University of Technology, 2628 CD Delft, Netherlands;

  Correspondence

  Pedro Zattoni Scroccaro, Delft Center of Systems and Control, Delft University of Technology, 2628 CD Delft, Netherlands;

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  ,
• Bilge Atasoy

  Bilge Atasoy

  Department of Maritime and Transport Technology, Delft University of Technology, 2628 CD Delft, Netherlands

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• Peyman Mohajerin Esfahani

  Peyman Mohajerin Esfahani

  Delft Center of Systems and Control, Delft University of Technology, 2628 CD Delft, Netherlands;

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Published Online:September 30, 2024

Editorial Board

Published Online:September 27, 2024