Minimizing Upper Confidence Bounds: A Data-Driven Framework for Stochastic Programming

Shixin Liu, Ming Gao, Jian Hu

Stochastic programming is often challenged by epistemic uncertainty, where critical probability distributions are poorly characterized or unknown due to a lack of data. To address…