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Learning optimal and fair decision trees for non-discriminative decision-making
S Aghaei, MJ Azizi, P Vayanos
Proceedings of the AAAI conference on artificial intelligence 33 (01), 1418-1426, 2019
2342019
Strong optimal classification trees
S Aghaei, A Gómez, P Vayanos
Operations Research, 2024
822024
Learning optimal classification trees: Strong max-flow formulations
S Aghaei, A Gomez, P Vayanos
International Conference on The Integration of Constraint Programming …, 2020
41*2020
Learning Optimal Fair Decision Trees: Trade-offs Between Interpretability, Fairness, and Accuracy
N Jo, S Aghaei, J Benson, A Gomez, P Vayanos
AAAI / ACM conference on ARTIFICIAL INTELLIGENCE. ETHICS, AND SOCIETY, 2023
192023
Learning optimal prescriptive trees from observational data
N Jo, S Aghaei, A Gómez, P Vayanos
arXiv preprint arXiv:2108.13628, 2021
192021
Learning Optimal Fair Classification Trees
N Jo, S Aghaei, J Benson, A Gómez, P Vayanos
International Conference on The Integration of Constraint Programming …, 2022
182022
Optimal robust classification trees
N Justin, S Aghaei, A Gomez, P Vayanos
The AAAI-22 Workshop on Adversarial Machine Learning and Beyond, 2021
172021
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
92023
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
32023
Learning Optimal Classification Trees Robust to Distribution Shifts
N Justin, S Aghaei, A Gómez, P Vayanos
arXiv preprint arXiv:2310.17772, 2023
2023
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