Long, Daniel Zhuoyu; Sim, Melvyn; Zhou, Minglong - 2022
We present a general framework for data-driven optimization called robustness optimization that favors solutions for which a risk-aware objective function would best attain an acceptable target even when the actual probability distribution deviates from the empirical distribution. Unlike robust...