Scalable MCMC Sampling for Nonsymmetric Determinantal Point Processes

Insu Han, Mike Gartrell, Elvis Dohmatob, Amin Karbasi

Abstract: A determinantal point process (DPP) is an elegant model that assigns a probability to every subset of a collection of $n$ items. While conventionally a DPP is parameterized by a symmetric kernel ma...