most citedResiduals-Based Contextual Distributionally Robust Optimization with Decision-Dependent Uncertainty: Theoretical Guarantees and Decomposition Algorithm

5 citations · 5 across the 1 of their papers we have counts for

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2 papers

math.OC2026★ 5 cited

Residuals-Based Contextual Distributionally Robust Optimization with Decision-Dependent Uncertainty: Theoretical Guarantees and Decomposition Algorithm

Qing Zhu, Xian Yu, Guzin Bayraksan

We consider a residuals-based distributionally robust optimization (DRO) model, where the underlying uncertainty depends on both covariate information and our decisions. We adopt b…

math.OC2025

Distributionally Robust Optimization for Chemotherapy Scheduling under Asymmetric and Multi-Modal Uncertainty

Qing Zhu, Xian Yu, Yu-Li Huang

We consider a real-world chemotherapy scheduling template design problem, where we cluster patient types into groups and find a representative time-slot duration for each group to…