Learning Determinantal Point Processes with Moments and Cycles

John Urschel, Victor-Emmanuel Brunel, Ankur Moitra, Philippe Rigollet

Abstract: Determinantal Point Processes (DPPs) are a family of probabilistic models that have a repulsive behavior, and lend themselves naturally to many tasks in machine learning where returning a diverse s...