Rares Cristian

End-to-End Learning for Optimization via Constraint-Enforcing Approximators

In many real-world applications, predictive methods are used to provide inputs for downstream optimization problems. It has been shown that using the downstream task-based objective to learn the intermediate predictive model is often better than using only intermediate task objectives, such as predi…