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...
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