Nathanael Jo

Orcid: 0000-0003-2295-9952

According to our database1, Nathanael Jo authored at least 6 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Estimating and Implementing Conventional Fairness Metrics With Probabilistic Protected Features.
Proceedings of the IEEE Conference on Secure and Trustworthy Machine Learning, 2024

2023
ODTlearn: A Package for Learning Optimal Decision Trees for Prediction and Prescription.
CoRR, 2023

Learning Optimal Fair Decision Trees: Trade-offs Between Interpretability, Fairness, and Accuracy.
Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

Fairness in Contextual Resource Allocation Systems: Metrics and Incompatibility Results.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Learning Optimal Fair Classification Trees.
CoRR, 2022

2021
Learning Optimal Prescriptive Trees from Observational Data.
CoRR, 2021


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