Learning a Ranking from Human Feedback in Log-Concave Random Utility Models

Diego Alovisetti, Marco Mussi, Alberto Maria Metelli

We study the problem of recovering the ranking of a fixed set of items according to their unknown numerical utilities. At each interaction with the environment, a learner presents…