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stat.ML2020
On the Difficulty of Unbiased Alpha Divergence Minimization
Tomas Geffner, Justin Domke
Several approximate inference algorithms have been proposed to minimize an alpha-divergence between an approximating distribution and a target distribution. Many of these algorithm…
cs.LG2020
Approximation Based Variance Reduction for Reparameterization Gradients
Tomas Geffner, Justin Domke
Flexible variational distributions improve variational inference but are harder to optimize. In this work we present a control variate that is applicable for any reparameterizable…