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A New Approach to Probabilistic Programming Inference

3 July 2015

Frank Wood

Jan-Willem van de Meent

Vikash K. Mansinghka

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Papers citing "A New Approach to Probabilistic Programming Inference"

23 / 123 papers shown

Title
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
Data-driven Sequential Monte Carlo in Probabilistic Programming Yura N. Perov T. Le Frank Wood BDL 52 7 0 14 Dec 2015
Getting Started with Particle Metropolis-Hastings for Inference in Nonlinear Dynamical Models J. Dahlin Thomas B. Schon 97 25 0 05 Nov 2015
A General Method for Robust Bayesian Modeling Chong-Jun Wang David M. Blei OOD 64 53 0 17 Oct 2015
C3: Lightweight Incrementalized MCMC for Probabilistic Programs using Continuations and Callsite Caching Daniel E. Ritchie Andreas Stuhlmuller Noah D. Goodman 80 30 0 07 Sep 2015
Black-Box Policy Search with Probabilistic Programs Jan-Willem van de Meent Brooks Paige David Tolpin Frank Wood 117 24 0 16 Jul 2015
Automatic Variational Inference in Stan A. Kucukelbir Rajesh Ranganath Andrew Gelman David M. Blei BDL 99 233 0 10 Jun 2015
Hinge-Loss Markov Random Fields and Probabilistic Soft Logic Stephen H. Bach Matthias Broecheler Bert Huang Lise Getoor TPM AI4CE 143 389 0 17 May 2015
Sequential Bayesian inference for implicit hidden Markov models and current limitations Pierre E. Jacob 74 15 0 16 May 2015
Maximum a Posteriori Estimation by Search in Probabilistic Programs David Tolpin Frank Wood TPM 65 12 0 26 Apr 2015
Path Finding under Uncertainty through Probabilistic Inference David Tolpin Brooks Paige Jan-Willem van de Meent Frank Wood TPM 66 0 0 25 Feb 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
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
Slice Sampling for Probabilistic Programming R. Ranca Zoubin Ghahramani TPM 30 2 0 20 Jan 2015
Value Iteration with Options and State Aggregation K. Ciosek David Silver 52 11 0 16 Jan 2015
Biips: Software for Bayesian Inference with Interacting Particle Systems A. Todeschini François Caron Marc Fuentes P. Legrand P. Del Moral 77 26 0 11 Dec 2014
Augmentation Schemes for Particle MCMC Paul Fearnhead Loukia Meligkotsidou 93 19 0 29 Aug 2014
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 73 15 0 09 Jul 2014
Venture: a higher-order probabilistic programming platform with programmable inference Vikash K. Mansinghka Daniel Selsam Yura N. Perov 100 256 0 01 Apr 2014
A Compilation Target for Probabilistic Programming Languages Brooks Paige Frank Wood 118 80 0 03 Mar 2014