2020
Neural Likelihoods via Cumulative Distribution Functions
UAI 2020poster
We leverage neural networks as universal approximators of monotonic functions to build a parameterization of conditional cumulative distribution functions (CDFs). By the application of automatic differentiation with respect to response variables and then to parameters of this CDF representation, we…