MAC approximates KFAC's curvature with a rank-1 mean-activation matrix, making second-order training nearly as cheap as SGD while preserving accuracy.
Distributed second-order optimization using kronecker-factored approximations
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MAC: An Efficient Gradient Preconditioning using Mean Activation Approximated Curvature
MAC approximates KFAC's curvature with a rank-1 mean-activation matrix, making second-order training nearly as cheap as SGD while preserving accuracy.