Online Variational Filtering and Parameter Learning

Neural Information Processing Systems 

As per standard batch variational techniques, we use stochastic gradients to simultaneously optimize a lower bound on the log evidence with respect to both model parameters and a variational approximation of the states' posterior distribution.

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