A proximal Newton framework for composite minimization: Graph learning without Cholesky decompositions and matrix inversions
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Quoc Tran-Dinh, Anastasios T. Kyrillidis, Volkan Cevher
A proximal Newton framework for composite minimization: Graph learning without Cholesky decompositions and matrix inversions
ICML, 2013.

ICML c2 2013
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@inproceedings{ICML-c2-2013-Tran-DinhKC,
	author        = "Quoc Tran-Dinh and Anastasios T. Kyrillidis and Volkan Cevher",
	booktitle     = "{Proceedings of the 30th International Conference on Machine Learning, Cycle 2}",
	ee            = "http://jmlr.org/proceedings/papers/v28/trandinh13.html",
	pages         = "271--279",
	publisher     = "{JMLR.org}",
	series        = "{JMLR Proceedings}",
	title         = "{A proximal Newton framework for composite minimization: Graph learning without Cholesky decompositions and matrix inversions}",
	volume        = 28,
	year          = 2013,
}

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