Pyro: Deep Universal Probabilistic Programming

Eli Bingham
Eli Bingham
Jonathan P. Chen
Jonathan P. Chen
Fritz Obermeyer
Fritz Obermeyer
Neeraj Pradhan
Neeraj Pradhan
Paul A. Szerlip
Paul A. Szerlip
Paul Horsfall
Paul Horsfall

The Journal of Machine Learning Research, Volume abs/1810.09538, Issue 28, 2019.

Cited by: 246|Bibtex|Views26
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Other Links: dblp.uni-trier.de|academic.microsoft.com|dl.acm.org|arxiv.org

Abstract:

Pyro is a probabilistic programming language built on Python as a platform for developing advanced probabilistic models in AI research. To scale to large data sets and high-dimensional models, Pyro uses stochastic variational inference algorithms and probability distributions built on top of PyTorch, a modern GPU-accelerated deep learning...More

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