XVII th Conference on Stochastic Programming

Détails pour Andres Gomez

Titre: Prof.

Auteur des contributions suivantes:

• Learning Optimal Classification Trees Robust to Distribution Shifts
• Learning Robust Risk Scores from Observational Data under Unobserved Confounders
• Mixed-feature Logistic Regression Robust to Distribution Shifts