2 papers
cs.LG2026
Statistical and Structural Approaches to Algorithmic Fairness
Antonio Ferrara
Modern machine learning systems have outgrown their origins as isolated predictive constructs, evolving into complex socio-technical architectures that actively mediate human oppor…
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…