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27

AC
2003
Springer

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Concentration Inequalities

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Concentration Inequalities

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Concentration inequalities deal with deviations of functions of independent random variables from their expectation. In the last decade new tools have been introduced making it possible to establish simple and powerful inequalities. These inequalities are at the heart of the mathematical analysis of various problems in machine learning and made it possible to derive new eﬃcient algorithms. This text attempts to summarize some of the basic tools.

Stéphane Boucheron, Gábor Lugosi, Ol

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Added	06 Jul 2010
Updated	06 Jul 2010
Type	Conference
Year	2003
Where	AC
Authors	Stéphane Boucheron, Gábor Lugosi, Olivier Bousquet

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