2 papers
cs.LG2026
Bounded-Abstention Pairwise Learning to Rank
Antonio Ferrara, Andrea Pugnana, Francesco Bonchi +1
Ranking systems influence decision-making in high-stakes domains like health, education, and employment, where they can have substantial economic and social impacts. This makes the…
cs.LG2026
Size-adaptive Hypothesis Testing for Fairness
Antonio Ferrara, Francesco Cozzi, Alan Perotti +2
Determining whether an algorithmic decision-making system discriminates against a specific demographic typically involves comparing a single point estimate of a fairness metric aga…