Kit T. Rodolfa

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 20

Top Topics

Machine Learning

Experimental Designs

Top Venues

Publications

Kevin Wu, Eric Wu, Kit T. Rodolfa, Daniel E. Ho, James Zou
Regulating AI Adaptation: An Analysis of AI Medical Device Updates. CoRR (2024)
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 (2024)
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)
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)
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 (2024)
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 (2023)
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)
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)
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 (2022)
Ka Ho Brian Chor, Kit T. Rodolfa, Rayid Ghani
A Conceptual Framework for Using Machine Learning to Support Child Welfare Decisions. CoRR (2022)
Hemank Lamba, Kit T. Rodolfa, Rayid Ghani
An Empirical Comparison of Bias Reduction Methods on Real-World Problems in High-Stakes Policy Settings. CoRR (2021)
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) (2021)
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) (2021)
Pedro Saleiro, Kit T. Rodolfa, Rayid Ghani
Dealing with Bias and Fairness in Data Science Systems: A Practical Hands-on Tutorial. KDD (2020)
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)
Kit T. Rodolfa, Hemank Lamba, Rayid Ghani
Machine learning for public policy: Do we need to sacrifice accuracy to make models fair? CoRR (2020)
Kasun Amarasinghe, Kit T. Rodolfa, Hemank Lamba, Rayid Ghani
Explainable Machine Learning for Public Policy: Use Cases, Gaps, and Research Directions. CoRR (2020)
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 (2020)
Kit T. Rodolfa, Adolfo De Unánue, Matt Gee, Rayid Ghani
An Experience-Centered Approach to Training Effective Data Scientists. Big Data 7 (4) (2019)
Kit T. Rodolfa, Adolfo De Unánue, Matt Gee, Rayid Ghani
A Clinical Approach to Training Effective Data Scientists. CoRR (2019)