Particle Gibbs with Ancestor Sampling for Probabilistic Programs

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Particle Gibbs with Ancestor Sampling for Probabilistic Programs

27 January 2015

Jan-Willem van de Meent

Vikash K. Mansinghka

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Papers citing "Particle Gibbs with Ancestor Sampling for Probabilistic Programs"

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Title
Marginalized particle Gibbs for multiple state-space models coupled through shared parameters A. Wigren Fredrik Lindsten 75 0 0 13 Oct 2022
Learning and Compositionality: a Unification Attempt via Connectionist Probabilistic Programming Ximing Qiao Hai Helen Li 23 0 0 26 Aug 2022
A Point Mass Proposal Method for Bayesian State-Space Model Fitting Mary Llewellyn Ruth King Victor Elvira Gordon J. Ross 41 0 0 25 Mar 2022
Nested Variational Inference Heiko Zimmermann Hao Wu Babak Esmaeili Jan-Willem van de Meent BDL 83 21 0 21 Jun 2021
PClean: Bayesian Data Cleaning at Scale with Domain-Specific Probabilistic Programming Alexander K. Lew Monica Agrawal David Sontag Vikash K. Mansinghka 134 28 0 23 Jul 2020
Planning as Inference in Epidemiological Models Frank Wood Andrew Warrington Saeid Naderiparizi Christian D. Weilbach Vaden Masrani ... Adam Scibior Boyan Beronov John Grefenstette Duncan Campbell Alireza Nasseri 59 6 0 30 Mar 2020
Stochastically Differentiable Probabilistic Programs David Tolpin Yuanshuo Zhou Hongseok Yang BDL 39 0 0 02 Mar 2020
Parameter elimination in particle Gibbs sampling A. Wigren Riccardo Sven Risuleo Lawrence M. Murray Fredrik Lindsten 85 15 0 30 Oct 2019
Deployable probabilistic programming David Tolpin TPM 104 7 0 20 Jun 2019
Learning dynamical systems with particle stochastic approximation EM Andreas Svensson Fredrik Lindsten 105 9 0 25 Jun 2018
Bayesian Inference of Regular Expressions from Human-Generated Example Strings O. Long 18 4 0 22 May 2018
Spreadsheet Probabilistic Programming Mike Wu Yura N. Perov Frank Wood Hongseok Yang 49 3 0 14 Jun 2016
Applications of Probabilistic Programming (Master's thesis, 2015) Yura N. Perov 55 4 0 31 May 2016
Interacting Particle Markov Chain Monte Carlo Tom Rainforth C. A. Naesseth Fredrik Lindsten Brooks Paige Jan-Willem van de Meent Arnaud Doucet Frank Wood 74 34 0 16 Feb 2016
Output-Sensitive Adaptive Metropolis-Hastings for Probabilistic Programs David Tolpin Jan-Willem van de Meent Brooks Paige Frank Wood 66 1 0 22 Jan 2015