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20142023
most citedGuaranteed Bounds for Posterior Inference in Universal Probabilistic Programming

4 citations · 6 across the 5 of their papers we have counts for

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cs.LG2023

Rethinking Variational Inference for Probabilistic Programs with Stochastic Support

Tim Reichelt, Luke Ong, Tom Rainforth

We introduce Support Decomposition Variational Inference (SDVI), a new variational inference (VI) approach for probabilistic programs with stochastic support. Existing approaches t…