Multi-level Monte Carlo Variational Inference

1 Feb 2019Masahiro FujisawaIssei Sato

We propose a variance reduction framework for variational inference using the multi-level Monte Carlo (MLMC) method. The proposed framework "recycles" parameters obtained from past update history in optimization and can be compatible with reparameterized gradient estimators... (read more)

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