publications

a growing list of my published works and working papers.

2023

  1. Learning Optimal Fair Classification Trees: Trade-offs Between Interpretability, Fairness, and Accuracy
    Nathanael Jo, Sina Aghaei, Andrés Gómez, and Phebe Vayanos
    AIES, Aug 2023
    arXiv PDF Code
  2. Fairness in Contextual Resource Allocation Systems: Metrics and Incompatibility Results
    Nathanael Jo, Bill Tang, Kathryn Dullerud, Sina Aghaei, and 2 more authors
    AAAI, Aug 2023
    HTML PDF
  3. Learning Optimal Prescriptive Trees from Observational Data
    Nathanael Jo, Sina Aghaei, Andrés Gómez, and Phebe Vayanos
    Revise and Resubmit, Jun 2023
    arXiv Code
  4. Drop a Line, Submit on Time? Randomized Tailored Reminders Improve Pollution Reporting Timeliness
    Elinor Benami, Nathanael Jo, Beth Ragnauth, and Daniel E Ho
    Revise and Resubmit, Jan 2023
    HTML Code
  5. Estimating and Implementing Conventional Fairness Metrics With Probabilistic Protected Features
    Hadi Elzayn, Emily Black, Patrick Vossler, Nathanael Jo, and 2 more authors
    Working Paper, Oct 2023
    arXiv PDF Code
  6. Not (Officially) in My Backyard: Characterizing Informal Accessory Dwelling Units and Informing Housing Policy with Remote Sensing
    Nathanael Jo, Andrea Vallebueno, Derek Ouyang, and Daniel E Ho
    Working Paper, Aug 2023
    HTML
  7. ODTlearn: A Package for Learning Optimal Decision Trees for Prediction and Prescription
    Patrick Vossler, Sina Aghaei, Nathan Justin, Nathanael Jo, and 2 more authors
    Working Paper, Aug 2023
    arXiv HTML