Making Gradient Descent Optimal for Strongly Convex Stochastic Optimization
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Alexander Rakhlin, Ohad Shamir, Karthik Sridharan
Making Gradient Descent Optimal for Strongly Convex Stochastic Optimization
ICML, 2012.

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@inproceedings{ICML-2012-RakhlinSS,
	author        = "Alexander Rakhlin and Ohad Shamir and Karthik Sridharan",
	booktitle     = "{Proceedings of the 29th International Conference on Machine Learning}",
	ee            = "http://icml.cc/2012/papers/261.pdf",
	pages         = "204",
	publisher     = "{icml.cc / Omnipress}",
	title         = "{Making Gradient Descent Optimal for Strongly Convex Stochastic Optimization}",
	year          = 2012,
}

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