Nov 6, 2014 · Abstract:Determinantal point processes (DPPs) offer a powerful approach to modeling diversity in many applications where the goal is to ...

Determinantal point processes (DPPs) offer a powerful approach to modeling diversity in many applications where the goal is to select a diverse.

Determinantal point processes (DPPs) offer a powerful approach to modeling diversity in many applications where the goal is to select a diverse subset from ...

This work shows how to reparameterize a DPP's kernel matrix with multiple kernel functions, thus enhancing modeling flexibility, and proposes a novel ...

Sec. A: deriving the softmax, eq. (13) in the main text. We also show how to efficiently compute the marginal probability P{i} in eq. (13).

Nov 7, 2014 · Abstract. Determinantal point processes (DPPs) offer a powerful approach to modeling diversity in many ap-.

Determinantal point processes (DPPs) offer a powerful approach to modeling diversity in many applications where the goal is to select a diverse subset.

Determinantal Point Processes (DPPs) are probabilistic models over all subsets a ground set of N items. They have recently gained prominence in several ap-.

Determinantal point processes (DPPs) are elegant probabilistic models of repulsion that arise in quantum physics and random matrix theory.

The determinantal volumes for positive pairs containing popular items will thus tend to be larger than the volumes of negative pairs.