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