Strictly Frequentist Imprecise Probability
Fröhlich, Christian, Rabanus Derr, and Robert C Williamson. 2024. “Strictly Frequentist Imprecise Probability”. International Journal of Approximate Reasoning 168 (109148).
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Limits to Predicting Online Speech Using Large Language Models
Remeli, Mina, Moritz Hardt, and Robert C. Williamson. 2024. “Limits to Predicting Online Speech Using Large Language Models”. ArXiv.
Environmental Intelligence: Context and Rhetoric
Williamson, Robert C. 2025. “Environmental Intelligence: Context and Rhetoric”. Harvard Data Science Review 7 (4).
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.
Four Facets of Forecast Felicity: Calibration, Predictiveness, Randomness and Regret
Derr, Rabanus, and Robert C. Williamson. 2024. “Four Facets of Forecast Felicity: Calibration, Predictiveness, Randomness and Regret.”
Risk Measures and Upper Probabilities: Coherence and Stratification
Fröhlich, Christian, and Robert C Williamson. 2024. “Risk Measures and Upper Probabilities: Coherence and Stratification”. Journal of Machine Learning Research 25 (207): 1-100.
Decision making, symmetry and structure: Justifying causal interventions
Johnston, David O., Cheng Soon Ong, and Robert C. Williamson. 2025. “Decision Making, Symmetry and Structure: Justifying Causal Interventions”. Journal of Causal Inference 13.
The Rhetoric of Machine Learning
Williamson, Robert C. 2024. “The Rhetoric of Machine Learning”. In Persuasive Algorithms? A Symposium on the Rhetoric of Generative AI.
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.
Causal modelling without introducing counterfactuals or abstract distributions
Höltgen, Benedikt, and Robert C. Williamson. 2024. “Causal Modelling Without Introducing Counterfactuals or Abstract Distributions”. ArXiv.