When the whole is greater than the sum of its parts: Scaling black-box inference to large data settings through divide-and-conquer

Emily C. Hector, Amanda Lenzi

Black-box methods such as deep neural networks are exceptionally fast at obtaining point estimates of model parameters due to their amortisation of the loss function computation, b…