The Neural Moving Average Model for Scalable Variational Inference of State Space Models

1 code implementation • 2 Oct 2019 • Tom Ryder, Dennis Prangle, Andrew Golightly, Isaac Matthews

Variational inference has had great success in scaling approximate Bayesian inference to big data by exploiting mini-batch training.

Bayesian Inference Normalising Flows +3