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Analysis of a randomized approximation scheme for matrix multiplication

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arxiv 1211.5414 v1 pith:FJ72SVCN submitted 2012-11-23 cs.DS cs.LGcs.NAmath.NAstat.ML

classification cs.DScs.LGcs.NAmath.NAstat.ML
keywords matrixanalysisapproximationinequalitymultiplicationrandomrandomizedscheme
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This note gives a simple analysis of a randomized approximation scheme for matrix multiplication proposed by Sarlos (2006) based on a random rotation followed by uniform column sampling. The result follows from a matrix version of Bernstein's inequality and a tail inequality for quadratic forms in subgaussian random vectors.

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