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The Nelson-Nguyen Conjecture via Mean-to-Moments Concentration
An oblivious subspace embedding (OSE) is a distribution over matrices that approximately preserves the squared Euclidean norm of every vector in any fixed low-dimensional subspace. We prove the Nelson-Nguyen conjecture: for every $0 < δ< 1$, there exists a distribution that gives an OSE with embeddi
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