Nathan Justin

According to our database, Nathan Justin authored at least 5 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Mixed-Integer Optimization for Responsible Machine Learning.

Nathan Justin, Qingshi Sun, Andrés Gómez, Phebe Vayanos

CoRR, May, 2025

Mixed-feature Logistic Regression Robust to Distribution Shifts.

Qingshi Sun, Nathan Justin, Andres Gomez, Phebe Vayanos

CoRR, March, 2025

Mixed-Feature Logistic Regression Robust to Distribution Shifts.

Qingshi Sun, Nathan Justin, Andrés Gómez, Phebe Vayanos

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2023

Learning Optimal Classification Trees Robust to Distribution Shifts.

Nathan Justin, Sina Aghaei, Andrés Gómez, Phebe Vayanos

CoRR, 2023

ODTlearn: A Package for Learning Optimal Decision Trees for Prediction and Prescription.

Patrick Vossler, Sina Aghaei, Nathan Justin, Nathanael Jo, Andrés Gómez, Phebe Vayanos

CoRR, 2023