BO4IO: A Bayesian optimization approach to inverse optimization with uncertainty quantification

Yen-An Lu, Wei-Shou Hu, Joel A. Paulson +1

This work addresses data-driven inverse optimization (IO), where the goal is to estimate unknown parameters in an optimization model from observed decisions that can be assumed to…