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math.OC2026
Contextual Distributionally Robust Chance-Constrained Programs: Exact Reformulations and Valid Inequalities
Hanbin Yang, Nan Jiang, Guodong Lyu
We study a contextual distributionally robust chance-constrained programming (C-DRCCP) model that controls violation probabilities conditional on a neighborhood of a target context…
cs.LG2026
Q-MMR: Off-Policy Evaluation via Recursive Reweighting and Moment Matching
Xiang Li, Nan Jiang
We present a novel theoretical framework, Q-MMR, for off-policy evaluation in finite-horizon MDPs. Q-MMR learns a set of scalar weights, one for each data point, such that the rewe…
math.OC2026
Tightening CVaR Approximations via Scenario-Wise Scaling for Chance-Constrained Programming
Rui Chen, Nan Jiang
Chance-constrained programs (CCPs) provide a powerful modeling framework for decision-making under uncertainty, but their nonconvex feasible regions make them computationally chall…