Pseudo-Mallows for Efficient Probabilistic Preference Learning

Qinghua Liu, Valeria Vitelli, Carlo Mannino +2

We propose the Pseudo-Mallows distribution over the set of all permutations of $n$ items, to approximate the posterior distribution with a Mallows likelihood. The Mallows model has…