Kit T. Rodolfa
Orcid: 0000-0002-0829-1282
According to our database1,
Kit T. Rodolfa
authored at least 13 papers
between 2019 and 2024.
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Bibliography
2024
Preventing Eviction-Caused Homelessness through ML-Informed Distribution of Rental Assistance.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Addressing Bias and Fairness in Machine Learning: A Practical Guide and Hands-on Tutorial.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools.
Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms, 2023
2022
A Conceptual Framework for Using Machine Learning to Support Child Welfare Decisions.
CoRR, 2022
2021
An Empirical Comparison of Bias Reduction Methods on Real-World Problems in High-Stakes Policy Settings.
SIGKDD Explor., 2021
Empirical observation of negligible fairness-accuracy trade-offs in machine learning for public policy.
Nat. Mach. Intell., 2021
2020
Machine learning for public policy: Do we need to sacrifice accuracy to make models fair?
CoRR, 2020
Explainable Machine Learning for Public Policy: Use Cases, Gaps, and Research Directions.
CoRR, 2020
Dealing with Bias and Fairness in Data Science Systems: A Practical Hands-on Tutorial.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Case study: predictive fairness to reduce misdemeanor recidivism through social service interventions.
Proceedings of the FAT* '20: Conference on Fairness, 2020
2019
Big Data, 2019