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20172023
most citedCompiling Universal Probabilistic Programming Languages with Efficient Parallel Sequential Monte Carlo Inference

13 citations · 24 across the 5 of their papers we have counts for

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cs.PL2023★ 2 cited

Suspension Analysis and Selective Continuation-Passing Style for Universal Probabilistic Programming Languages

Daniel Lundén, Lars Hummelgren, Jan Kudlicka +2

Universal probabilistic programming languages (PPLs) make it relatively easy to encode and automatically solve statistical inference problems. To solve inference problems, PPL impl…