3 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…