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.
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Random Classification Noise does not defeat All Convex Potential Boosters Irrespective of Model Choice
Mansour, Yishay, Richard Nock, and Robert C. Williamson. 2023. “Random Classification Noise Does Not Defeat All Convex Potential Boosters Irrespective of Model Choice”. In ICML2023 .
Strictly Frequentist Imprecise Probability
Fröhlich, Christian, Rabanus Derr, and Robert C Williamson. 2024. “Strictly Frequentist Imprecise Probability”. International Journal of Approximate Reasoning 168 (109148).
Systems of Precision: Coherent Probabilities on Pre-Dynkin Systems and Coherent Previsions on Linear Subspaces
Derr, Rabanus, and Robert C. Williamson. 2023. “Systems of Precision: Coherent Probabilities on Pre-Dynkin Systems and Coherent Previsions on Linear Subspaces”. Entropy 25 (9): 1283.
Insights From Insurance for Fair Machine Learning: Responsibility, Performativity and Aggregates
Fröhlich, Christian, and Robert C. Williamson. 2023. “Insights From Insurance for Fair Machine Learning: Responsibility, Performativity and Aggregates”. ArXiv.
On the Richness of Calibration
Höltgen, Benedikt, and Robert C Williamson. 2023. “On the Richness of Calibration”. In FAccT2023 .
The Geometry of Mixability
Cabrera.Pacheco, Armando J., and Robert C Williamson. 2023. “The Geometry of Mixability”. Transactions on Machine Learning Research.
The AI of ethics
Williamson, Robert C. 2021. “The AI of Ethics”. In Machines We Trust: Perspectives on Dependable AI, 139-60. Boston: MIT Press.