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- 1ambiguity set
- 1chance-constrained programming
- 1data-driven optimization
- 1distributionally robust chance-constrained programming
- 1machine learning
- 1optimization under uncertainty
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Fall 2023
With the advances made in machine learning and data science, data-driven modeling and optimization techniques have garnered significant attention in recent years. However, despite the availability of various data-driven methods for addressing optimization problems under uncertainty, their...
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