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PRODID:-//Cornell U. Department of Computer Science//Brown Bag Seminar//EN
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SUMMARY:Brown bag: Karthik Sridharan
DESCRIPTION:Title: Online Learning: From Theory to Algorithms and
	 Applications\nSpeaker: Karthik Sridharan\nAbstract: In recent years
	 online learning (sequential prediction) has received much attention as
	 it often produces fast and simple learning algorithms that enjoy
	 robustness to changing or even adversarial data sources. However\,
	 despite the extensive existing literature on online learning\, our
	 theoretical understanding of the framework has been rather lacking. Most
	 existing analyses have been case by case\, and there is a lack of a
	 general theory and methodology for designing online learning algorithms
	 for the problem at hand. The goal of this talk is to first present a new
	 general theory for online learning that parallels results from
	 statistical learning theory. Next\, building on this general theory\, I
	 will provide a generic recipe for deriving online learning algorithms.
	 Finally\, we shall see how the tools and techniques presented can be
	 used for designing efficient learning algorithms for several interesting
	 problems\, including online collaborative filtering\, node
	 classification in social networks\, etc. I will conclude the talk with
	 future extensions and ongoing research.
LOCATION:Gates 122
UID:2014-09-16
STATUS:CONFIRMED
DTSTART:20140916T160000Z
DTEND:20140916T170000Z
ORGANIZER;CN=Jonathan Shi:http://www.cs.cornell.edu/~jshi/brownbag/
DTSTAMP:20260408T171450Z
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