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20202026
most citedSolving Nonsmooth Nonconvex Compound Stochastic Programs with Applications to Risk Measure Minimization

2 citations · 2 across the 6 of their papers we have counts for

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math.OC2025

Learning-Based Surrogate Method for Stochastic Optimization under Decision-Dependent Uncertainty with Adaptive Random Designs

Boyang Shen, Junyi Liu

We study stochastic programs in which the latent decision-dependent uncertainty is described via a nonparametric regression model. The major challenge is that, without convexity as…