Score Function Gradient Estimation to Widen the Applicability of Decision-Focused Learning 事件

Score Function Gradient Estimation to Widen the Applicability of Decision-Focused Learning arXiv:2307.05213v3 Announce Type: replace-cross Abstract: Many real-world optimization problems contain parameters that are unknown before deployment time, either due to stochasticity or to lack of information (e.g., demand or travel times in delivery problems). A common strategy in such cases is to estimate said parameters via machine learning (ML) models trained to minimize the prediction error, which h