Random Valued Functions

[pulsipher]

A modeling capability we should add are functions that have stochastic outputs, but not necessarily stochastic inputs (e.g., a Gaussian process). A motivating example pertains to subproblems in Bayesian optimization approaches that embed learned Gaussian processes that serve as stochastic surrogate models.