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A Compilation Target for Probabilistic Programming Languages

3 March 2014

Papers citing "A Compilation Target for Probabilistic Programming Languages"

28 / 28 papers shown

Title
Rethinking Variational Inference for Probabilistic Programs with Stochastic Support Tim Reichelt C. Ong Tom Rainforth 63 2 0 01 Nov 2023
On-the-fly Strategy Adaptation for ad-hoc Agent Coordination Jaleh Zand Jack Parker-Holder Stephen J. Roberts 60 14 0 08 Mar 2022
Learning Proposals for Probabilistic Programs with Inference Combinators Sam Stites Heiko Zimmermann Hao Wu Eli Sennesh Jan-Willem van de Meent NAI 84 16 0 01 Mar 2021
Neuro-symbolic Neurodegenerative Disease Modeling as Probabilistic Programmed Deep Kernels Alexander Lavin BDL MedIm 79 9 0 16 Sep 2020
Lazy object copy as a platform for population-based probabilistic programming Lawrence M. Murray 51 5 0 09 Jan 2020
Blang: Bayesian declarative modelling of general data structures and inference via algorithms based on distribution continua Alexandre Bouchard-Côté Kevin Chern Davor Cubranic Sahand Hosseini Justin Hume Matteo Lepur Zihui Ouyang G. Sgarbi 31 6 0 22 Dec 2019
Amortized Rejection Sampling in Universal Probabilistic Programming Saeid Naderiparizi Adam Scibior Andreas Munk Mehrdad Ghadiri A. G. Baydin ... R. Zinkov Philip Torr Tom Rainforth Yee Whye Teh Frank Wood 69 7 0 20 Oct 2019
MultiVerse: Causal Reasoning using Importance Sampling in Probabilistic Programming Yura N. Perov L. Graham Kostis Gourgoulias Jonathan G. Richens Ciarán M. Gilligan-Lee Adam Baker Saurabh Johri LRM 60 17 0 17 Oct 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
Deployable probabilistic programming David Tolpin TPM 104 7 0 20 Jun 2019
Doubly Bayesian Optimization Alexander Lavin 38 0 0 11 Dec 2018
Automated learning with a probabilistic programming language: Birch Lawrence M. Murray Thomas B. Schon 76 63 0 02 Oct 2018
Inference Over Programs That Make Predictions Yura N. Perov 35 2 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
Delayed Sampling and Automatic Rao-Blackwellization of Probabilistic Programs Lawrence M. Murray Daniel Lundén J. Kudlicka David Broman Thomas B. Schon 64 60 0 25 Aug 2017
Bayesian Optimization for Probabilistic Programs Tom Rainforth T. Le Jan-Willem van de Meent Michael A. Osborne Frank Wood TPM 72 27 0 13 Jul 2017
On the Pitfalls of Nested Monte Carlo Tom Rainforth R. Cornish Hongseok Yang Frank Wood 64 9 0 03 Dec 2016
Binomial Checkpointing for Arbitrary Programs with No User Annotation J. Siskind Barak A. Pearlmutter 19 3 0 10 Nov 2016
Spreadsheet Probabilistic Programming Mike Wu Yura N. Perov Frank Wood Hongseok Yang 49 3 0 14 Jun 2016
Post-Inference Prior Swapping Willie Neiswanger Eric Xing 19 1 0 02 Jun 2016
Applications of Probabilistic Programming (Master's thesis, 2015) Yura N. Perov 55 4 0 31 May 2016
Bachelor's thesis on generative probabilistic programming (in Russian language, June 2014) Yura N. Perov BDL 20 0 0 26 Jan 2016
Semantics for probabilistic programming: higher-order functions, continuous distributions, and soft constraints S. Staton Hongseok Yang C. Heunen Ohad Kammar Frank Wood 92 136 0 19 Jan 2016
Getting Started with Particle Metropolis-Hastings for Inference in Nonlinear Dynamical Models J. Dahlin Thomas B. Schon 97 25 0 05 Nov 2015
Computing Functions of Random Variables via Reproducing Kernel Hilbert Space Representations Bernhard Schölkopf Krikamol Muandet Kenji Fukumizu J. Peters 76 38 0 27 Jan 2015
Particle Gibbs with Ancestor Sampling for Probabilistic Programs Jan-Willem van de Meent Hongseok Yang Vikash K. Mansinghka Frank Wood 80 33 0 27 Jan 2015
Asynchronous Anytime Sequential Monte Carlo Brooks Paige Frank Wood Arnaud Doucet Yee Whye Teh 60 47 0 10 Jul 2014
Learning Probabilistic Programs Yura N. Perov Frank Wood TPM 70 15 0 09 Jul 2014