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SMCP3: Sequential Monte Carlo with Probabilistic Program Proposals.

, , , , , , and . AISTATS, volume 206 of Proceedings of Machine Learning Research, page 7061-7088. PMLR, (2023)

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Trace types and denotational semantics for sound programmable inference in probabilistic languages., , , , and . Proc. ACM Program. Lang., 4 (POPL): 19:1-19:32 (2020)Using probabilistic programs as proposals., and . CoRR, (2018)Measuring the non-asymptotic convergence of sequential Monte Carlo samplers using probabilistic programming., and . CoRR, (2016)Recursive Monte Carlo and variational inference with auxiliary variables., , and . UAI, volume 180 of Proceedings of Machine Learning Research, page 1096-1106. PMLR, (2022)Abstract Interpretation for Generalized Heuristic Search in Model-Based Planning., , and . CoRR, (2022)A Family of Exact Goodness-of-Fit Tests for High-Dimensional Discrete Distributions., , , and . AISTATS, volume 89 of Proceedings of Machine Learning Research, page 1640-1649. PMLR, (2019)Probabilistic Programming with Stochastic Probabilities., , , and . Proc. ACM Program. Lang., 7 (PLDI): 1708-1732 (2023)ProbNeRF: Uncertainty-Aware Inference of 3D Shapes from 2D Images., , , , , , and . AISTATS, volume 206 of Proceedings of Machine Learning Research, page 10425-10444. PMLR, (2023)AIDE: An algorithm for measuring the accuracy of probabilistic inference algorithms., and . NIPS, page 3000-3010. (2017)A Probabilistic Programming Approach To Probabilistic Data Analysis., and . NIPS, page 2011-2019. (2016)