Probabilistic Programming in Julia New Inference Algorithms

Abstract

In this thesis we look at the design and development of a Probabilistic Programming Language (PPL) in Julia named Turing and the challenges of implementing the Hamiltonian Monte Carlo (HMC) sampler inside the Turing framework. This dissertation starts with a review of three important fields behind the project, which are Bayesian inference, general inference… (More)

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Cite this paper

@inproceedings{Xu2016ProbabilisticPI, title={Probabilistic Programming in Julia New Inference Algorithms}, author={Kai J. Xu}, year={2016} }