2 papers
cs.LG2025
Models That Prove Their Own Correctness
Noga Amit, Shafi Goldwasser, Orr Paradise +1
How can we trust the correctness of a learned model on a particular input of interest? Model accuracy is typically measured on average over a distribution of inputs, giving no guar…
cs.LG2025
Accuracy vs. Accuracy: Computational Tradeoffs Between Classification Rates and Utility
Noga Amit, Omer Reingold, Guy N. Rothblum
We revisit the foundations of fairness and its interplay with utility and efficiency in settings where the training data contain richer labels, such as individual types, rankings,…