binary classification 1calibration 1degrees of freedom 1distribution-free guarantees 1expected calibration error 1isotonic regression 1
From the 1 of 2 linked papers with an AI index.
2 papers
stat.ML2026
An analysis of binary isotonic regression: degrees of freedom and implications for calibration
Raphael Rossellini, Rina Foygel Barber, Zhimei Ren +1
The paper provides a sharp finite‑sample bound on the worst‑case degrees of freedom of binary isotonic regression and uses this result to derive a distribution‑free guarantee on th…
stat.ME2025
Can a calibration metric be both testable and actionable?
Raphael Rossellini, Jake A. Soloff, Rina Foygel Barber +2
Forecast probabilities often serve as critical inputs for binary decision making. In such settings, calibration$\unicode{x2014}$ensuring forecasted probabilities match empirical fr…