| Learning optimal prescriptive trees from observational data N Jo, S Aghaei, A Gómez, P Vayanos arXiv preprint arXiv:2108.13628, 2021 | 16 | 2021 |
| Learning Optimal Fair Classification Trees: Trade-offs Between Interpretability, Fairness, and Accuracy N Jo, S Aghaei, A Gómez, P Vayanos arXiv preprint arXiv:2201.09932, 2022 | 11 | 2022 |
| Learning optimal fair decision trees: Trade-offs between interpretability, fairness, and accuracy N Jo, S Aghaei, J Benson, A Gomez, P Vayanos Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 181-192, 2023 | 6 | 2023 |
| Fairness in contextual resource allocation systems: Metrics and incompatibility results N Jo, B Tang, K Dullerud, S Aghaei, E Rice, P Vayanos Proceedings of the AAAI Conference on Artificial Intelligence 37 (10), 11837 …, 2023 | 3 | 2023 |
| Estimating and Implementing Conventional Fairness Metrics With Probabilistic Protected Features H Elzayn, E Black, P Vossler, N Jo, J Goldin, DE Ho arXiv preprint arXiv:2310.01679, 2023 | 1 | 2023 |
| ODTlearn: A Package for Learning Optimal Decision Trees for Prediction and Prescription P Vossler, S Aghaei, N Justin, N Jo, A Gómez, P Vayanos arXiv preprint arXiv:2307.15691, 2023 | 1 | 2023 |
| Not (Officially) in My Backyard: Characterizing Informal Accessory Dwelling Units and Informing Housing Policy with Remote Sensing N Jo, A Vallebueno, D Ouyang, DE Ho Available at SSRN 4592685, 2023 | | 2023 |
| Drop a Line, Submit on Time? Randomized Tailored Reminders Improve Pollution Reporting Timeliness E Benami, N Jo, B Ragnauth, DE Ho Randomized Tailored Reminders Improve Pollution Reporting Timeliness …, 2023 | | 2023 |
