A geometric calculus using exponential and mixture coordinates is applied to derive natural gradients for KL-type divergences in mean-field, transport, GAN, and variational Bayes settings.
194, Springer, [Tokyo], 2016
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Affine calculus for constrained minima of the Kullback-Leibler divergence
A geometric calculus using exponential and mixture coordinates is applied to derive natural gradients for KL-type divergences in mean-field, transport, GAN, and variational Bayes settings.