arXiv:2001.11819

Joint Distributions for TensorFlow Probability

Dan Piponi, Dave Moore, Joshua V. Dillon

제출 2020-01-22

원문 초록

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.

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