Foundations of Machine Learning Systems

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67 results found

Assessing AI Fairness in Finance

Publication: Journal Article

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

Publication: Journal Article

Williamson, Robert C, and Zac Cranko. 2024. “Information Processing Equalities and the Information-Risk Bridge”. Journal of Machine Learning Research.

Fairness and Randomness in Machine Learning: Statistical Independence and Relativization

Publication: Journal Article

Derr, Rabanus, and Robert C Williamson. 2022. “Fairness and Randomness in Machine Learning: Statistical Independence and Relativization”. ArXiv Preprint arXiv:2207.13596.

The Set Structure of Precision: Coherent Probabilities on Pre-Dynkin-Systems

Publication: Journal Article

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

Publication: Journal Article

Frölich, Christian, and Robert C. Williamson. 2024. “Data Models With Two Manifestations of Imprecision”. ArXiv.

We study foundational questions for machine learning systems. Our style of research is to examine closely a number of things that are taken for granted. We aim for a deep understanding of a small number of things. Our motivation for research is primarily the "joy of finding things out." We are not...

Risk Measures and Imprecise Probabilities

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Rabanus Derr

Person:

PhD Student

Benedikt Höltgen

Person:

PhD Student