Nathanael Jo

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 8

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Publications

Hadi Elzayn, Emily Black, Patrick Vossler, Nathanael Jo, Jacob Goldin, Daniel E. Ho
Estimating and Implementing Conventional Fairness Metrics With Probabilistic Protected Features. SaTML (2024)
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)
Hadi Elzayn, Emily Black, Patrick Vossler, Nathanael Jo, Jacob Goldin, Daniel E. Ho
Estimating and Implementing Conventional Fairness Metrics With Probabilistic Protected Features. 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)