Sina Aghaei

12 papers A* 2C 1Journal 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Strong Optimal Classification Trees. Oper. Res. Sina Aghaei, Andrés Gómez, Phebe Vayanos
2023	A*	`conf`	Fairness in Contextual Resource Allocation Systems: Metrics and Incompatibility Results. AAAI Nathanael Jo, Bill Tang, Kathryn Dullerud, Sina Aghaei, Eric Rice, Phebe Vayanos
2023	J	`jnl`	Learning Optimal Classification Trees Robust to Distribution Shifts. CoRR Nathan Justin, Sina Aghaei, Andrés Gómez, Phebe Vayanos
2023	C	`conf`	Learning Optimal Fair Decision Trees: Trade-offs Between Interpretability, Fairness, and Accuracy. AIES Nathanael Jo, Sina Aghaei, Jack Benson, Andrés Gómez, Phebe Vayanos
2023	J	`jnl`	ODTlearn: A Package for Learning Optimal Decision Trees for Prediction and Prescription. CoRR Patrick Vossler, Sina Aghaei, Nathan Justin, Nathanael Jo, Andrés Gómez, Phebe Vayanos
2022	J	`jnl`	Fairness in Contextual Resource Allocation Systems: Metrics and Incompatibility Results. CoRR Nathanael Jo, Bill Tang, Kathryn Dullerud, Sina Aghaei, Eric Rice, Phebe Vayanos
2022	J	`jnl`	Learning Optimal Fair Classification Trees. CoRR Nathanael Jo, Sina Aghaei, Jack Benson, Andrés Gómez, Phebe Vayanos
2021	J	`jnl`	Learning Optimal Prescriptive Trees from Observational Data. CoRR Nathanael Jo, Sina Aghaei, Andrés Gómez, Phebe Vayanos
2021	J	`jnl`	Strong Optimal Classification Trees. CoRR Sina Aghaei, Andrés Gómez, Phebe Vayanos
2020	J	`jnl`	Learning Optimal Classification Trees: Strong Max-Flow Formulations. CoRR Sina Aghaei, Andrés Gómez, Phebe Vayanos
2019	A*	`conf`	Learning Optimal and Fair Decision Trees for Non-Discriminative Decision-Making. AAAI Sina Aghaei, Mohammad Javad Azizi, Phebe Vayanos
2019	J	`jnl`	Learning Optimal and Fair Decision Trees for Non-Discriminative Decision-Making. CoRR Sina Aghaei, Mohammad Javad Azizi, Phebe Vayanos