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Church: a language for generative models

13 June 2012

Papers citing "Church: a language for generative models"

28 / 178 papers shown

Title
Slice Sampling for Probabilistic Programming R. Ranca Zoubin Ghahramani TPM 25 2 0 20 Jan 2015
Value Iteration with Options and State Aggregation K. Ciosek David Silver 48 11 0 16 Jan 2015
Sublinear-Time Approximate MCMC Transitions for Probabilistic Programs Yutian Chen Vikash K. Mansinghka Zoubin Ghahramani 58 5 0 06 Nov 2014
Learning Probabilistic Programs Yura N. Perov Frank Wood TPM 65 15 0 09 Jul 2014
A Credit Assignment Compiler for Joint Prediction Kai-Wei Chang He He Hal Daumé John Langford Stéphane Ross 109 20 0 07 Jun 2014
Learning to Discover Efficient Mathematical Identities Wojciech Zaremba Karol Kurach Rob Fergus 100 54 0 06 Jun 2014
Structured Learning Modulo Theories Stefano Teso Roberto Sebastiani Andrea Passerini 56 51 0 07 May 2014
Venture: a higher-order probabilistic programming platform with programmable inference Vikash K. Mansinghka Daniel Selsam Yura N. Perov 95 256 0 01 Apr 2014
A Compilation Target for Probabilistic Programming Languages Brooks Paige Frank Wood 111 80 0 03 Mar 2014
Detecting Parameter Symmetries in Probabilistic Models Robert Nishihara T. Minka Daniel Tarlow 93 18 0 19 Dec 2013
Measure Transformer Semantics for Bayesian Machine Learning J. Borgström Andrew D. Gordon Michael Greenberg J. Margetson Jurgen Van Gael 95 104 0 03 Aug 2013
Approximate Bayesian Image Interpretation using Generative Probabilistic Graphics Programs Vikash K. Mansinghka Tejas D. Kulkarni Yura N. Perov J. Tenenbaum 209 108 0 29 Jun 2013
Herded Gibbs Sampling L. Bornn Yutian Chen Nando de Freitas Mareija Eskelin Jing Fang Max Welling 191 21 0 17 Jan 2013
Automated Variational Inference in Probabilistic Programming David Wingate T. Weber BDL TPM 110 139 0 07 Jan 2013
Towards common-sense reasoning via conditional simulation: legacies of Turing in Artificial Intelligence Cameron E. Freer Daniel M. Roy J. Tenenbaum LRM AI4CE 182 24 0 19 Dec 2012
Accelerating Inference: towards a full Language, Compiler and Hardware stack Shawn Hershey J. Bernstein Bill Bradley Andrew Schweitzer Noah D. Stein T. Weber B. Vigoda LRM AI4CE 75 28 0 12 Dec 2012
Compiling Relational Database Schemata into Probabilistic Graphical Models Sameer Singh T. Graepel 67 8 0 05 Dec 2012
A unifying representation for a class of dependent random measures N. Foti Joseph D. Futoma D. Rockmore Sinead Williamson 77 28 0 20 Nov 2012
Probabilities on Sentences in an Expressive Logic Marcus Hutter John Lloyd K. S. Ng W. Uther 90 26 0 12 Sep 2012
A Dynamic Programming Algorithm for Inference in Recursive Probabilistic Programs Andreas Stuhlmuller Noah D. Goodman UQCV 110 37 0 15 Jun 2012
Monolingual Probabilistic Programming Using Generalized Coroutines O. Kiselyov Chung-chieh Shan LRM 98 13 0 09 May 2012
A Bayesian Sampling Approach to Exploration in Reinforcement Learning J. Asmuth Lihong Li Michael L. Littman A. Nouri David Wingate BDL 108 189 0 09 May 2012
Driving Markov chain Monte Carlo with a dependent random stream Iain Murray L. Elliott 110 14 0 14 Apr 2012
Gibbs Sampling in Open-Universe Stochastic Languages Nimar S. Arora Rodrigo de Salvo Braz Erik B. Sudderth S. Russell AI4CE 100 16 0 15 Mar 2012
Inducing Probabilistic Programs by Bayesian Program Merging Irvin Hwang Andreas Stuhlmuller Noah D. Goodman 84 33 0 25 Oct 2011
On the computability of conditional probability N. Ackerman Cameron E. Freer Daniel M. Roy TPM 182 24 0 17 May 2010
Nonparametric Bayesian Density Modeling with Gaussian Processes Ryan P. Adams Iain Murray D. MacKay GP 87 11 0 24 Dec 2009
Computable de Finetti measures Cameron E. Freer Daniel M. Roy 103 34 0 06 Dec 2009