Tristan Cladière

From Constraint to Control: Modeling Expected Fairness in Ranking Systems

Modern learning to rank systems have achieved remarkable performance across a wide range of applications. However, they may also exhibit disparities in exposure, raising concerns about fairness, especially in sensitive domains such as healthcare, judicial decision-making, and recruitment, where biased rankings may have...