[Compstats] Google UW distinguished seminar: Shai Shalev-Shwartz (Wed. July 14)
ppoupart at cs.uwaterloo.ca
Tue Jun 29 22:37:26 EDT 2010
Title: Machine Learning in the Data Revolution Era
Speaker: Shai Shalev-Shwartz (Hebrew University, Israel)
Date: Wednesday, July 14
Machine learning is playing a central role in the digital revolution,
in which massive and never-ending data is collected from various
sources such as online commerce, social networking, and online
collaboration. This large amount of data is often noisy or partial.
In this talk I will present learning algorithms appropriate for this
new era: algorithms that not only can handle massive amounts of data
but can also leverage large data sets to reduce the required runtime;
and algorithms that can use the multitude of examples to compensate
for lack of full information on each individual example.
Shai Shalev-Shwartz is on the faculty of the Department of Computer
Science and Engineering at the Hebrew university of Jerusalem, Israel.
Dr. Shalev-Shwartz received the PhD degree in computer science from
the Hebrew university, in 2007. Between 2007-2009 he was a research
assistant professor at Toyota Technological Institute at Chicago. Shai
has written more than 40 research papers, focusing on learning theory,
online prediction, optimization techniques, and practical algorithms.
He served as a program committee member for the COLT conference in
2008-2010, a program committee member for ALT in 2009, and he is part
of the editorial boards of the Journal of Machine Learning Research
(JMLR) and the Machine Learning Journal (MLJ).
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