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.