NobleBlocks
Public

DPPy: Sampling DPPs with Python

Published in arXiv (Cornell University) • Sep 19, 2018
NobleIDNI2P57W22R10S23
Authors:
Guillaume Gautier
,
Guillermo Polito
,
Rémi Bardenet

Abstract

Determinantal point processes (DPPs) are specific probability distributions over clouds of points that are used as models and computational tools across physics, probability, statistics, and more recently machine learning. Sampling from DPPs is a challenge and therefore we present DPPy, a Python too...

Finding related papers...

Discussions

(0)

No comments yet

Be the first to share your thoughts!