12 citations · 12 across the 2 of their papers we have counts for
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stat.ML2019
The Neural Moving Average Model for Scalable Variational Inference of State Space Models
Tom Ryder, Dennis Prangle, Andrew Golightly +1
Variational inference has had great success in scaling approximate Bayesian inference to big data by exploiting mini-batch training. To date, however, this strategy has been most a…
stat.ML2019
Black-Box Inference for Non-Linear Latent Force Models
Wil O. C. Ward, Tom Ryder, Dennis Prangle +1
Latent force models are systems whereby there is a mechanistic model describing the dynamics of the system state, with some unknown forcing term that is approximated with a Gaussia…