7.3PLJan 22, 2020
Joint Distributions for TensorFlow ProbabilityDan Piponi, Dave Moore, Joshua V. Dillon
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.