Sina Aghaei

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 11

Top Topics

Resource Allocation

Classification Trees

Causal Bayesian Networks

Top Venues

Publications

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