Accelerated Inference for Partially Observed Markov Processes using Automatic Differentiation

Kevin Tan, Giles Hooker, Edward L. Ionides

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