Automatic Differentiation for Inference on Partially Observed Markov Process Models

Kevin Tan, Giles Hooker, Aaron J. Abkemeier +2

Automatic differentiation (AD) has driven recent advances in machine learning, including deep neural networks and Hamiltonian Markov Chain Monte Carlo methods. Partially observed n…