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Numerical linear algebra / Matrix theory / Mathematical optimization / Matrices / Singular value decomposition / Matrix multiplication / Matrix / Rank / Low-rank approximation / Algebra / Linear algebra / Mathematics


Tighter Low-rank Approximation via Sampling the Leveraged Element∗ Srinadh Bhojanapalli The University of Texas at Austin [removed]
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Document Date: 2014-12-10 11:28:31


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SIAM Journal / Microsoft / /

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Facility

Sujay Sanghavi The University of Texas / Leveraged Element∗ Srinadh Bhojanapalli The University of Texas / /

IndustryTerm

web / projections algorithms / low rank approximation algorithms / actual full matrix product / computing / matrix algorithms / projections algorithm / search space / randomized algorithm / approximation algorithms / /

Organization

University of Texas at Austin / /

Person

Sujay Sanghavi / /

ProvinceOrState

Alberta / Texas / /

PublishedMedium

Machine Learning / /

Technology

2 Algorithm / Stagewise algorithm / LELA algorithms / machine learning / using algorithm / simulation / Gaussian projections algorithm / LELA algorithm / Improved matrix algorithms / Gaussian projections algorithms / Improved approximation algorithms / low rank approximation algorithms / /

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