Pyro: Deep Universal Probabilistic Programming.

The Journal of Machine Learning Research(2019)

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摘要
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 framework. To accommodate complex or model-specific algorithmic behavior, Pyro leverages Poutine, a library of composable building blocks for modifying the behavior of probabilistic programs.
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关键词
approximate Bayesian inference, deep learning, generative models, graphical models, probabilistic programming
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