Antithetic and Monte Carlo kernel estimators for partial rankings

Maria Lomeli, Mark Rowland, Arthur Gretton +1

In the modern age, rankings data is ubiquitous and it is useful for a variety of applications such as recommender systems, multi-object tracking and preference learning. However, m…