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20222026
most citedA Short and General Duality Proof for Wasserstein Distributionally Robust Optimization

20 citations · 20 across the 5 of their papers we have counts for

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5 papers

math.OC2026

Conformal-DRO: Distributionally Robust Optimization with Conformalized Ambiguity Set

Luhao Zhang, Shixiang Zhu

Data-driven distributionally robust optimization (DRO) typically treats the conditional outcome law as fixed and uses ambiguity sets to capture estimation error. This paper studies…

cs.LG2026

Integrating Feature Correlation in Differential Privacy with Applications in DP-ERM

Tianyu Wang, Luhao Zhang, Rachel Cummings

Standard differential privacy imposes uniform privacy constraints across all features, overlooking the inherent distinction between sensitive and insensitive features in practice.…

math.PR2026

Schrödinger bridge with transport relaxation

Yifan Jiang, Renyuan Xu, Luhao Zhang

Motivated by modern machine learning applications where we only have access to empirical measures constructed from finite samples, we relax the marginal constraints of the classica…

math.OC2024

Decision Making under Costly Sequential Information Acquisition: the Paradigm of Reversible and Irreversible Decisions

Renyuan Xu, Thaleia Zariphopoulou, Luhao Zhang

Decision making in modern stochastic systems, including e-commerce platforms, financial markets and healthcare systems, has evolved into a multifaceted process that combines inform…

math.OC2022★ 20 cited

A Short and General Duality Proof for Wasserstein Distributionally Robust Optimization

Luhao Zhang, Jincheng Yang, Rui Gao

We present a general duality result for Wasserstein distributionally robust optimization that holds for any Kantorovich transport cost, measurable loss function, and nominal probab…