A hybrid randomized estimator that mixes a power-method ratio with a Gaussian norm yields tighter probabilistic upper bounds on matrix spectral norms with the same number of matrix-vector products.
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On the Upper Bounds for the Matrix Spectral Norm
A hybrid randomized estimator that mixes a power-method ratio with a Gaussian norm yields tighter probabilistic upper bounds on matrix spectral norms with the same number of matrix-vector products.