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Learning Probabilistic Programs

Learning Probabilistic Programs

9 July 2014
Yura N. Perov
Frank Wood
    TPM
ArXiv (abs)PDFHTML

Papers citing "Learning Probabilistic Programs"

6 / 6 papers shown
Title
How To Train Your Program: a Probabilistic Programming Pattern for
  Bayesian Learning From Data
How To Train Your Program: a Probabilistic Programming Pattern for Bayesian Learning From Data
David Tolpin
51
0
0
08 May 2021
Divide, Conquer, and Combine: a New Inference Strategy for Probabilistic
  Programs with Stochastic Support
Divide, Conquer, and Combine: a New Inference Strategy for Probabilistic Programs with Stochastic Support
Yuanshuo Zhou
Hongseok Yang
Yee Whye Teh
Tom Rainforth
TPM
70
20
0
29 Oct 2019
Bayesian Synthesis of Probabilistic Programs for Automatic Data Modeling
Bayesian Synthesis of Probabilistic Programs for Automatic Data Modeling
Feras A. Saad
Marco F. Cusumano-Towner
Ulrich Schaechtle
Martin Rinard
Vikash K. Mansinghka
58
62
0
14 Jul 2019
Learning Neurosymbolic Generative Models via Program Synthesis
Learning Neurosymbolic Generative Models via Program Synthesis
Halley Young
Osbert Bastani
Mayur Naik
NAI
62
31
0
24 Jan 2019
Computable Variants of AIXI which are More Powerful than AIXItl
Computable Variants of AIXI which are More Powerful than AIXItl
Susumu Katayama
156
4
0
22 May 2018
Bachelor's thesis on generative probabilistic programming (in Russian
  language, June 2014)
Bachelor's thesis on generative probabilistic programming (in Russian language, June 2014)
Yura N. Perov
BDL
20
0
0
26 Jan 2016
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