An Exponential Family Basis for Probabilistic Programming
Many common distributional families take the form of exponential families.
The functional form of the conditional densities of these families gives them convenient compositional properties, yielding opportunities for powerful reasoning and optimization.
We present a Haskell-based approach for expressing probabilistic models in terms of free arrows, over a basis of exponential families.… Read the rest