End-to-End Learning for Fair Multiobjective Optimization Under Uncertainty
The paper discusses extending the Predict-Then-Optimize (PtO) methodology to optimization problems with nondifferentiable Ordered Weighted Averaging (OWA) objectives. OWA objectives ensure fairness and robustness in decision models. The authors propose…
Continue reading