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08/16/2023
A Framework for Data-Driven Explainability in Mathematical Optimization
Advancements in mathematical programming have made it possible to effici...
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10/20/2022
A general model-and-run solver for multistage robust discrete linear optimization
The necessity to deal with uncertain data is a major challenge in decisi...
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08/26/2022
A Framework for Inherently Interpretable Optimization Models
With dramatic improvements in optimization software, the solution of lar...
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11/24/2021
Combinatorial Optimization Problems with Balanced Regret
For decision making under uncertainty, min-max regret has been establish...
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06/24/2021
Adaptive Relaxations for Multistage Robust Optimization
Multistage robust optimization problems can be interpreted as two-person...
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11/29/2018