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1504.05477
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Randomized Block Krylov Methods for Stronger and Faster Approximate Singular Value Decomposition
21 April 2015
Cameron Musco
Christopher Musco
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Papers citing
"Randomized Block Krylov Methods for Stronger and Faster Approximate Singular Value Decomposition"
10 / 10 papers shown
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Near-Optimal Stochastic Approximation for Online Principal Component Estimation
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An Improved Gap-Dependency Analysis of the Noisy Power Method
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Low rank approximation and decomposition of large matrices using error correcting codes
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30 Dec 2015
Robust Shift-and-Invert Preconditioning: Faster and More Sample Efficient Algorithms for Eigenvector Computation
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The Singular Value Decomposition, Applications and Beyond
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Convergence of Stochastic Gradient Descent for PCA
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A Practical Guide to Randomized Matrix Computations with MATLAB Implementations
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