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Delayed Sampling and Automatic Rao-Blackwellization of Probabilistic Programs

25 August 2017

Papers citing "Delayed Sampling and Automatic Rao-Blackwellization of Probabilistic Programs"

20 / 20 papers shown

Title
Hamiltonian Monte Carlo Inference of Marginalized Linear Mixed-Effects Models Jinlin Lai Justin Domke Daniel Sheldon 128 0 0 31 Oct 2024
Automatic Rao-Blackwellization for Sequential Monte Carlo with Belief Propagation Waïss Azizian Guillaume Baudart Marc Lelarge 31 3 0 15 Dec 2023
Automatically Marginalized MCMC in Probabilistic Programming Jinlin Lai Javier Burroni Hui Guan Daniel Sheldon 87 3 0 01 Feb 2023
Nonlinear System Identification: Learning while respecting physical models using a sequential Monte Carlo method A. Wigren Johan Wågberg Fredrik Lindsten A. Wills Thomas B. Schon 50 11 0 26 Oct 2022
Marginalized particle Gibbs for multiple state-space models coupled through shared parameters A. Wigren Fredrik Lindsten 75 0 0 13 Oct 2022
flip-hoisting: Exploiting Repeated Parameters in Discrete Probabilistic Programs Yunyao Cheng T. Millstein Guy Van den Broeck Steven Holtzen UQCV TPM 40 4 0 19 Oct 2021
Nonparametric Hamiltonian Monte Carlo Carol Mak Fabian Zaiser C.-H. Luke Ong 62 6 0 18 Jun 2021
Compositional Semantics for Probabilistic Programs with Exact Conditioning Dario Stein S. Staton 34 28 0 27 Jan 2021
Conditional independence by typing Maria I. Gorinova Andrew D. Gordon Charles Sutton Matthijs Vákár 75 15 0 22 Oct 2020
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
Inference in Stochastic Epidemic Models via Multinomial Approximations N. Whiteley Lorenzo Rimella 49 10 0 24 Jun 2020
Lazy object copy as a platform for population-based probabilistic programming Lawrence M. Murray 51 5 0 09 Jan 2020
Parameter elimination in particle Gibbs sampling A. Wigren Riccardo Sven Risuleo Lawrence M. Murray Fredrik Lindsten 83 15 0 30 Oct 2019
Functional Tensors for Probabilistic Programming F. Obermeyer Eli Bingham M. Jankowiak Du Phan Jonathan P. Chen 55 18 0 23 Oct 2019
Variationally Inferred Sampling Through a Refined Bound for Probabilistic Programs Víctor Gallego D. Insua BDL 44 1 0 26 Aug 2019
Probabilistic programming for birth-death models of evolution using an alive particle filter with delayed sampling J. Kudlicka Lawrence M. Murray F. Ronquist Thomas B. Schon 63 10 0 10 Jul 2019
Autoconj: Recognizing and Exploiting Conjugacy Without a Domain-Specific Language Matthew D. Hoffman Matthew J. Johnson Dustin Tran 48 17 0 29 Nov 2018
Automated learning with a probabilistic programming language: Birch Lawrence M. Murray Thomas B. Schon 78 63 0 02 Oct 2018
An Introduction to Probabilistic Programming Jan-Willem van de Meent Brooks Paige Hongseok Yang Frank Wood GP 88 200 0 27 Sep 2018
Probabilistic learning of nonlinear dynamical systems using sequential Monte Carlo Thomas B. Schon Andreas Svensson Lawrence M. Murray Fredrik Lindsten 68 41 0 07 Mar 2017