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stat.ME2025
Representation-Aware Distributionally Robust Optimization: A Knowledge Transfer Framework
Zitao Wang, Nian Si, Molei Liu
Distributionally robust optimization (DRO) protects statistical learning against distributional shifts by optimizing the worst-case performance over a set of perturbed distribution…
stat.ME2024
Multi-source Stable Variable Importance Measure via Adversarial Machine Learning
Zitao Wang, Nian Si, Zijian Guo +1
The quantification and inference of predictive importance for exposure covariates have recently gained significant attention in the context of interpretable machine learning. Conte…