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"Compiling Universal Probabilistic Programming Languages with Efficient ..."

Daniel Lundén et al. (2022)

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

access: open

type: Conference or Workshop Paper

metadata version: 2022-05-18

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  dblp key:
  - conf/esop/LundenOKSRB22
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  - https://dblp.org/rec/conf/esop/LundenOKSRB22
Daniel Lundén, Joey Öhman, Jan Kudlicka, Viktor Senderov, Fredrik Ronquist, David Broman:
Compiling Universal Probabilistic Programming Languages with Efficient Parallel Sequential Monte Carlo Inference. ESOP 2022: 29-56

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