University of California, Los Angeles; University of California, Los Angeles, and Max Planck Institute for Mathematics in the Sciences; Gatsby Computational Neuroscience Unit, University College London
kernel methods;natural gradient;information geometry;Wasserstein metric
Kernelized Wasserstein Natural Gradient