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math.OC2026
Graphical stability of set-valued integrals under measure perturbations
Tam Le
Motivated by sampling and approximation schemes arising in nonsmooth optimization, we study the stability of parameterized set-valued integrals under weak perturbations of the unde…
math.OC2026
Unregularized limit of stochastic gradient method for Wasserstein distributionally robust optimization
Tam Le
Wasserstein distributionally robust optimization offers a framework for model fitting in machine learning under potential shifts in the data distribution. We study a regularized va…