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1404.0788
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On the principal components of sample covariance matrices
3 April 2014
Alex Bloemendal
Antti Knowles
H. Yau
J. Yin
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Papers citing
"On the principal components of sample covariance matrices"
15 / 65 papers shown
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Matrices with Gaussian noise: optimal estimates for singular subspace perturbation
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Limiting Laws for Divergent Spiked Eigenvalues and Largest Non-spiked Eigenvalue of Sample Covariance Matrices
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Efficient Estimation of Linear Functionals of Principal Components
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Empirical Analysis of the Hessian of Over-Parametrized Neural Networks
Levent Sagun
Utku Evci
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High dimensional deformed rectangular matrices with applications in matrix denoising
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22 Feb 2017
Cleaning large correlation matrices: tools from random matrix theory
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J. Bouchaud
M. Potters
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Universal halting times in optimization and machine learning
Levent Sagun
T. Trogdon
Yann LeCun
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19 Nov 2015
Large complex correlated Wishart matrices: Fluctuations and asymptotic independence at the edges
W. Hachem
A. Hardy
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175
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Tracy-Widom Distribution for the Largest Eigenvalue of Real Sample Covariance Matrices with General Population
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Kevin Schnelli
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17 Sep 2014
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