Seonghun Park

k-submodular interdiction problems under distributional risk-receptiveness and robustness: application to machine learning

2025 · Computational Management Science

Abstract We study submodular optimization in adversarial context, applicable to machine learning problems such as feature selection using data susceptible to uncertainties and attacks. We focus on Stackelberg zero-sum games (also referred to as interdiction …