Sharp thresholds for high-dimensional and noisy sparsity recovery using l1-constrained quadratic programming (Lasso). Wainwright, M. J. IEEE Trans. Information Theory, 55(5):2183-2202, 2009.
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Paper bibtex @article{journals/tit/Wainwright09,
added-at = {2018-11-02T00:00:00.000+0100},
author = {Wainwright, Martin J.},
biburl = {https://www.bibsonomy.org/bibtex/2863310b8c841c7c09f9214c3c7b066d1/dblp},
ee = {https://doi.org/10.1109/TIT.2009.2016018},
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journal = {IEEE Trans. Information Theory},
keywords = {dblp},
number = 5,
pages = {2183-2202},
timestamp = {2018-11-03T12:05:14.000+0100},
title = {Sharp thresholds for high-dimensional and noisy sparsity recovery using l1-constrained quadratic programming (Lasso).},
url = {http://dblp.uni-trier.de/db/journals/tit/tit55.html#Wainwright09},
volume = 55,
year = 2009
}
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