3 papers
cs.CY2026
Law of Large Numbers: Accuracy as Statistical Measure for AI Compliance and Competition
Rabanus Derr, Alina Wernick, Robert C. Williamson
The machine learning community progresses (in part) by improving the "accuracy" of its systems. The EU AI Act explicitly refers to "accuracy" as part of its compliance measures for…
cs.LG2026
Comparing Corrupted Constrained Learning Problems
Laura Iacovissi, Rabanus Derr, Robert C. Williamson
A key result in statistics is the data processing inequality, originally proved by Blackwell (1951) and later refined by DeGroot (1962) in terms of statistical uncertainty. It stat…
cs.LG2025
Three Types of Calibration with Properties and their Semantic and Formal Relationships
Rabanus Derr, Jessie Finocchiaro, Robert C. Williamson
Fueled by discussions around "trustworthiness" and algorithmic fairness, calibration of predictive systems has regained scholars attention. The vanilla definition and understanding…