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[VMCAI'24] Guaranteed inference for probabilistic programs: a parallelisable, small-step o...
Probabilistic Programming with Programmable Inference
[LAFI'26] Incremental Density Computation for Efficient Programmable Inference
Gen: A General-Purpose Probabilistic Programming System | Marco Cusumano-Towner | JuliaCon 2019
Inference Compilation and Universal Probabilistic Programming
#155 Probabilistic Programming for the Real World, with Andreas Munk
[LAFI'23] Pitfalls of Full Bayesian Inference in Universal Probabilistic Programming
Gen: A General-Purpose Probabilistic Programming System with Programmable Inference
Fast Bayesian inference for structured models- [Tim Weiland]
Inference Compilation and Universal Probabilistic Programming
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Last Updated: September 30, 2026
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Summary
pldi19.sigplan.org/details/pldi-2019-papers/74/ So in this talk I'm going to try to propose that we should consider a change to the conceptual model of Support & Resources → Support the show on Patreon: patreon.com/c/learnbayesstats → Bayesian Modeling Course ... [LAFI'23] Pitfalls of Full Bayesian Friday Talks - 20260724 fridaytalks.github.io Speaker: Tim Weiland timwei.land/ Title: Fast Bayesian Read the abstract ➤ conf42.com/Python_2024_Salman_Saeed_Khan_probabilistic_programming Other sessions at ...
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