Time-varying generative models are guided by natural gradient descent through a time-score projection onto an exponential-family manifold, yielding kernel-based particle update algorithms KiNG and ntKiNG.
Exact natural gradient in deep linear networks and its application to the nonlinear case
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Guiding Time-Varying Generative Models with Natural Gradients on Exponential Family Manifold
Time-varying generative models are guided by natural gradient descent through a time-score projection onto an exponential-family manifold, yielding kernel-based particle update algorithms KiNG and ntKiNG.