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Re:Pyro: PyTorch-Based Deep Universal Probabilistic Programming by alex_hirner on Friday November 03, 2017 @10:06PM (#15623458)
It maps observations where you have a clue about how they were created (priors) to a stochastic function. So quite literally, you end up with a probabilistic program.

There are many solutions for each prior. Priors can for example be expressed as computational graphs with random variables.

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