Fisher Flow: A unified information-geometric framework for sequential inference revealing how modern optimizers (Adam, Natural Gradient, K-FAC, EWC) emerge as special cases of Fisher information propagation
machine-learning deep-learning optimization bayesian-inference uncertainty-quantification online-learning fisher-information information-geometry natural-gradient sequential-inference
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Updated
Oct 6, 2025 - HTML