ADEV: Sound Automatic Differentiation of Expected Values of Probabilistic Programs
ADEV: Sound Automatic Differentiation of Expected Values of Probabilistic Programs
Optimizing the expected values of probabilistic processes is a central problem in computer science and its applications, arising in fields ranging from artificial intelligence to operations research to statistical computing. Unfortunately, automatic differentiation techniques developed for deterministic programs do not in general compute the correct gradients needed for widely used …