Un-regularizing: approximate proximal point and faster stochastic algorithms for empirical risk minimization
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Roy Frostig, Rong Ge, Sham Kakade, Aaron Sidford
Un-regularizing: approximate proximal point and faster stochastic algorithms for empirical risk minimization
ICML, 2015.

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@inproceedings{ICML-2015-FrostigGKS,
	author        = "Roy Frostig and Rong Ge and Sham Kakade and Aaron Sidford",
	booktitle     = "{Proceedings of the 32nd International Conference on Machine Learning}",
	ee            = "http://jmlr.org/proceedings/papers/v37/frostig15.html",
	pages         = "2540--2548",
	publisher     = "{JMLR.org}",
	series        = "{JMLR Proceedings}",
	title         = "{Un-regularizing: approximate proximal point and faster stochastic algorithms for empirical risk minimization}",
	volume        = 37,
	year          = 2015,
}

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