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Nan Lu
Postdoctoral Fellow
Christian Fröhlich
PhD Student
Armando Cabrera
Postdoctoral Fellow
Chris Frölich defends his thesis
Chris Frölich became the first PhD graduate of the FMLS group in JUly, successfully defending his wonderful thesis Imprecise Probabilities in Machine Learning: Structure and Semantics
Geometry and Stability of Supervised Learning Problems
Mémoli, Facundo, Brantley Vose, and Robert C. Williamson. 2025. “Geometry and Stability of Supervised Learning Problems”. Journal of Machine Learning Research 26 (221): 1-99.
Assessing AI Fairness in Finance
McCalman, Lachlan, Daniel Steinberg, Grace Abuhamad, Marc-Etienne Brunet, Robert C Williamson, and Richard Zemel. 2022. “Assessing AI Fairness in Finance”. Computer 55 (1): 94-97.
Information Processing Equalities and the Information-Risk Bridge
Williamson, Robert C, and Zac Cranko. 2024. “Information Processing Equalities and the Information-Risk Bridge”. Journal of Machine Learning Research.
The Set Structure of Precision: Coherent Probabilities on Pre-Dynkin-Systems
Derr, Rabanus, and Robert C Williamson. 2023. “The Set Structure of Precision: Coherent Probabilities on Pre-Dynkin-Systems”. ArXiv arXiv:2302.03522.
Data Models With Two Manifestations of Imprecision
Frölich, Christian, and Robert C. Williamson. 2024. “Data Models With Two Manifestations of Imprecision”. ArXiv.