Optimal approximate sampling from discrete probability distributions

© 2020 Copyright held by the owner/author(s). This paper addresses a fundamental problem in random variate generation: given access to a random source that emits a stream of independent fair bits, what is the most accurate and entropy-efficient algorithm for sampling from a discrete probability dist...

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Bibliographic Details
Main Authors: Saad, Feras A, Freer, Cameron E, Rinard, Martin C, Mansinghka, Vikash K
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Format: Article
Language:English
Published: Association for Computing Machinery (ACM) 2021
Online Access:https://hdl.handle.net/1721.1/135919