Compiling Universal Probabilistic Programming Languages with Efficient Parallel Sequential Monte Carlo Inference

Summary

This is a publication. If there is no link to the publication on this page, you can try the pre-formated search via the search engines listed on this page.

Authors: Daniel Lundén, Joey Öhman, Jan Kudlicka, Viktor Senderov, Fredrik Ronquist, David Broman

Journal title: Programming Languages and Systems

Journal number: ESOP 2022

Journal publisher: Springer, Cham

Published year: 2022

Published pages: vol 13240

DOI identifier: 10.1007/978-3-030-99336-8_2

ISBN: 978-3-030-99336-8