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math.OC2026
Offline Policy Learning with Weight Clipping and Heaviside Composite Optimization
Jingren Liu, Hanzhang Qin, Junyi Liu +2
Offline policy learning aims to use historical data to learn an optimal personalized decision rule. In the standard estimate-then-optimize framework, reweighting-based methods (e.g…
math.OC2026
Statistical Robustness of Interval CVaR Based Regression Models under Perturbation and Contamination
Yulei You, Junyi Liu
Robustness under perturbation and contamination is a prominent issue in statistical learning. We address the robust nonlinear regression based on the so-called interval conditional…