Variational Inference with Normalizing Flows
timization of both the parameters and ˚of the model and variational approximation, respectively. Current best practice in variational inference performs this optimization using mini-batches and stochastic gra-dient descent, which is what allows variational infer-ence to be scaled to problems with very large data sets.
Inference, Refin, Ence, Variational, Variational inference, Timization, Variational infer ence
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