Faster Stochastic Variational Inference using Proximal-Gradient Methods with General Divergence Functions

31 Oct 2015Mohammad Emtiyaz KhanReza BabanezhadWu LinMark SchmidtMasashi Sugiyama

Several recent works have explored stochastic gradient methods for variational inference that exploit the geometry of the variational-parameter space. However, the theoretical properties of these methods are not well-understood and these methods typically only apply to conditionally-conjugate models... (read more)

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