Fairness and Randomness in Machine Learning: Statistical Independence and Relativization. - Rabanus Derr; Robert C. Williamson (CoRR, 2022)

The set structure of precision. - Rabanus Derr; Robert C. Williamson (ISIPTA, 2023)

Towards a strictly frequentist theory of imprecise probability. - Christian Fröhlich; Rabanus Derr; Robert C. Williamson (ISIPTA, 2023)

Systems of Precision: Coherent Probabilities on Pre-Dynkin Systems and Coherent Previsions on Linear Subspaces. - Rabanus Derr; Robert C. Williamson (Entropy, 2023)

Four Facets of Forecast Felicity: Calibration, Predictiveness, Randomness and Regret. - Rabanus Derr; Robert C. Williamson (CoRR, 2024)

An Axiomatic Approach to Loss Aggregation and an Adapted Aggregating Algorithm. - Armando J. Cabrera Pacheco; Rabanus Derr; Robert C. Williamson (CoRR, 2024)

The Value of Ambiguous Commitments in Multi-Follower Games. - Natalie Collina; Rabanus Derr; Aaron Roth 001 (CoRR, 2024)

Strictly frequentist imprecise probability. - Christian Fröhlich; Rabanus Derr; Robert C. Williamson (Int. J. Approx. Reason., 2024)

Three Types of Calibration with Properties and their Semantic and Formal Relationships. - Rabanus Derr; Jessie Finocchiaro; Robert C. Williamson (CoRR, 2025)

Property Elicitation on Imprecise Probabilities. - James Bailie; Rabanus Derr (CoRR, 2025)