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2020 – today
- 2025
[i12]Nicolas Rothbacher, Kit T. Rodolfa, Mihir Bhaskar, Erin Maneri, Christine Tsang, Daniel E. Ho:
Artificial Intelligence in Environmental Protection: The Importance of Organizational Context from a Field Study in Wisconsin. CoRR abs/2501.04902 (2025)- 2024
- [c6]Kasun Amarasinghe, Kit T. Rodolfa
, Sérgio M. Jesus, Valerie Chen, Vladimir Balayan, Pedro Saleiro, Pedro Bizarro, Ameet Talwalkar, Rayid Ghani:
On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods. AAAI 2024: 20921-20929 - [c5]Catalina Vajiac, Arun Frey, Joachim Baumann, Abigail Smith, Kasun Amarasinghe, Alice Lai, Kit T. Rodolfa, Rayid Ghani:
Preventing Eviction-Caused Homelessness through ML-Informed Distribution of Rental Assistance. AAAI 2024: 22393-22400 - [i11]Catalina Vajiac, Arun Frey, Joachim Baumann, Abigail Smith, Kasun Amarasinghe, Alice Lai, Kit T. Rodolfa, Rayid Ghani:
Preventing Eviction-Caused Homelessness through ML-Informed Distribution of Rental Assistance. CoRR abs/2403.12599 (2024) - [i10]Sebastian Quaade, Andrea Vallebueno, Olivia D. N. Alcabes, Kit T. Rodolfa, Daniel E. Ho:
Locating and measuring marine aquaculture production from space: a computer vision approach in the French Mediterranean. CoRR abs/2406.13847 (2024) - [i9]Kevin Wu, Eric Wu, Kit T. Rodolfa, Daniel E. Ho, James Zou:
Regulating AI Adaptation: An Analysis of AI Medical Device Updates. CoRR abs/2407.16900 (2024) - 2023
- [c4]Emily Black, Rakshit Naidu, Rayid Ghani, Kit T. Rodolfa, Daniel E. Ho, Hoda Heidari:
Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools. EAAMO 2023: 36:1-36:11 - [c3]Rayid Ghani, Kit T. Rodolfa, Pedro Saleiro, Sérgio M. Jesus:
Addressing Bias and Fairness in Machine Learning: A Practical Guide and Hands-on Tutorial. KDD 2023: 5779-5780 - [i8]Emily Black, Rakshit Naidu, Rayid Ghani, Kit T. Rodolfa, Daniel E. Ho, Hoda Heidari:
Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools. CoRR abs/2309.17337 (2023) - 2022
- [i7]Kasun Amarasinghe, Kit T. Rodolfa, Sérgio M. Jesus, Valerie Chen, Vladimir Balayan, Pedro Saleiro, Pedro Bizarro, Ameet Talwalkar, Rayid Ghani:
On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods. CoRR abs/2206.13503 (2022) - [i6]Ka Ho Brian Chor, Kit T. Rodolfa, Rayid Ghani:
A Conceptual Framework for Using Machine Learning to Support Child Welfare Decisions. CoRR abs/2207.05855 (2022) - 2021
- [j3]Kit T. Rodolfa, Hemank Lamba, Rayid Ghani:
Empirical observation of negligible fairness-accuracy trade-offs in machine learning for public policy. Nat. Mach. Intell. 3(10): 896-904 (2021) - [j2]Hemank Lamba, Kit T. Rodolfa, Rayid Ghani:
An Empirical Comparison of Bias Reduction Methods on Real-World Problems in High-Stakes Policy Settings. SIGKDD Explor. 23(1): 69-85 (2021) - [i5]Hemank Lamba, Kit T. Rodolfa, Rayid Ghani:
An Empirical Comparison of Bias Reduction Methods on Real-World Problems in High-Stakes Policy Settings. CoRR abs/2105.06442 (2021) - 2020
- [c2]Kit T. Rodolfa, Erika Salomon, Lauren Haynes, Iván Higuera Mendieta, Jamie Larson, Rayid Ghani:
Case study: predictive fairness to reduce misdemeanor recidivism through social service interventions. FAT* 2020: 142-153 - [c1]Pedro Saleiro, Kit T. Rodolfa, Rayid Ghani:
Dealing with Bias and Fairness in Data Science Systems: A Practical Hands-on Tutorial. KDD 2020: 3513-3514 - [i4]Kit T. Rodolfa, Erika Salomon, Lauren Haynes, Iván Higuera Mendieta, Jamie Larson, Rayid Ghani:
Case Study: Predictive Fairness to Reduce Misdemeanor Recidivism Through Social Service Interventions. CoRR abs/2001.09233 (2020) - [i3]Kasun Amarasinghe, Kit T. Rodolfa, Hemank Lamba, Rayid Ghani:
Explainable Machine Learning for Public Policy: Use Cases, Gaps, and Research Directions. CoRR abs/2010.14374 (2020) - [i2]Kit T. Rodolfa, Hemank Lamba, Rayid Ghani:
Machine learning for public policy: Do we need to sacrifice accuracy to make models fair? CoRR abs/2012.02972 (2020)
2010 – 2019
- 2019
- [j1]Kit T. Rodolfa, Adolfo De Unánue, Matt Gee, Rayid Ghani:
An Experience-Centered Approach to Training Effective Data Scientists. Big Data 7(4): 249-261 (2019) - [i1]Kit T. Rodolfa, Adolfo De Unánue, Matt Gee, Rayid Ghani:
A Clinical Approach to Training Effective Data Scientists. CoRR abs/1905.06875 (2019)
Coauthor Index
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last updated on 2025-02-20 20:43 CET by the dblp team
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