What killed the Convex Booster? Publication: Journal Article Mansour, Yishay, Richard Nock, and Robert C Williamson. 2022. “What Killed the Convex Booster?”. ArXiv Preprint ArXiv:2205.09628.
Tailoring to the Tails: Risk Measures for Fine-Grained Tail Sensitivity Publication: Journal Article Fröhlich, Christian, and Robert C Williamson. 2023. “Tailoring to the Tails: Risk Measures for Fine-Grained Tail Sensitivity”. Transactions on Machine Learning Research.
Random Classification Noise does not defeat All Convex Potential Boosters Irrespective of Model Choice Publication: Conference Paper 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 .
Corruptions of Supervised Learning Problems: Typology and Mitigations Publication: Journal Article Iacovissi, Laura, Nan Lu, and Robert C. Williamson. 2024. “Corruptions of Supervised Learning Problems: Typology and Mitigations”. ArXiv.
Strictly Frequentist Imprecise Probability Publication: Journal Article Fröhlich, Christian, Rabanus Derr, and Robert C Williamson. 2024. “Strictly Frequentist Imprecise Probability”. International Journal of Approximate Reasoning 168 (109148).
Limits to Predicting Online Speech Using Large Language Models Publication: Journal Article Remeli, Mina, Moritz Hardt, and Robert C. Williamson. 2024. “Limits to Predicting Online Speech Using Large Language Models”. ArXiv.
Insights From Insurance for Fair Machine Learning: Responsibility, Performativity and Aggregates Publication: Journal Article 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 Publication: Manuscript 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 Publication: Journal Article 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 Publication: Journal Article Johnston, David O., Cheng Soon Ong, and Robert C. Williamson. 2025. “Decision Making, Symmetry and Structure: Justifying Causal Interventions”. Journal of Causal Inference 13.