Hyungki Im

Smart Surrogate Losses for Contextual Stochastic Linear Optimization with Robust Constraints

We study an extension of contextual stochastic linear optimization (CSLO) that, in contrast to most of the existing literature, involves inequality constraints that depend on uncertain parameters predicted by a machine learning model. To handle the constraint uncertainty, we use contextual uncertain…