Uncertainty Quantification in Data-Driven Inverse Optimization via Bayesian Inference

Timothy C. Y. Chan, Nathan Sandholtz, Nasrin Yousefi

Inverse optimization (IO) is used to estimate unknown parameters of an optimization model from observed decisions. In the data-driven context, the estimated parameters are inherent…