Ein neuartiger Ansatz zur Integration von maschinellem Lernen und Optimierung für risikobewusste Entscheidungsfindung unter Unsicherheit.
Proposing an end-to-end approach for Conditional Robust Optimization to enhance decision-making under uncertainty.
The authors propose an end-to-end approach to train a Conditional Robust Optimization model that enhances both empirical risk and conditional coverage, outperforming traditional methods.