| Document Date: 2014-09-16 02:45:15
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City Belmont / Austin / New York / Beijing / / Company IBM / Netflix / SIAM Journal / Yahoo Music / Yahoo! / Intel / / Country United States / China / / / Facility The University of Texas / / IndustryTerm vector products / final solution / matrix vector product / line search / iterative thresholding algorithm / recommender systems / proximal gradient algorithm / inferior solution / low rank solution / minimum rank solutions / nonlinear successive over-relaxation algorithm / conjugate gradient algorithm / greedy algorithms / search line segment / rank solution / vector product / closed-form solutions / form solution / closed form solution / closed-form solution / singular value thresholding algorithm / approximate solutions / regularization algorithms / gradient descent algorithms / / Organization African Union / Department of Computer Science / USA Peder A. Olsen IBM T.J. Watson Research Center / University of Texas / / Person Dimitri P. Nonlinear / Vikas Sindshow / Haim Avron / Cho-Jui Hsieh / / Position Prime Minister / author / / Product X2 / X1 / / ProvinceOrState Texas / Virginia / New York / Massachusetts / / PublishedMedium Machine Learning / Mathematics of Computation / Communications of the ACM / / Technology Lanczos algorithm / singular value thresholding algorithm / Bartels-Stewart algorithm / RAM / iterative thresholding algorithm / 1 2 3 4 5 6 7 Algorithm / nonlinear successive over-relaxation algorithm / Machine Learning / greedy algorithms / 4 5 6 7 8 Algorithm / proximal gradient algorithm / proposed algorithm / competing algorithms / R. Spectral regularization algorithms / conjugate gradient algorithm / gradient descent algorithms / /
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Nuclear Norm Minimization via Active Subspace Selection Cho-Jui Hsieh Department of Computer Science, The University of Texas, Austin, TX 78721, USA Peder A. Olsen