Joint Distributions for TensorFlow Probability

01/22/2020

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by   Dan Piponi, et al.

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A central tenet of probabilistic programming is that a model is specified exactly once in a canonical representation which is usable by inference algorithms. We describe JointDistributions, a family of declarative representations of directed graphical models in TensorFlow Probability.