FasterAlgorithmsandConstantLowerBoundsforthe Worst-CaseExpectedError

Neural Information Processing Systems 

When data values are`2-normalized, our algorithm iteratively computes the top eigenvector of a sequence of matrices, and does not lose any multiplicativeapproximation factor.

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