Joint Distributions for TensorFlow Probability
Piponi, Dan, Moore, Dave, Dillon, Joshua V.
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.
Jan-21-2020