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<p class=MsoNormal><font size=3 face=Arial><span style='font-size:12.0pt;
font-family:Arial'>When:
Monday, April 7, 10:00am<b><span style='font-weight:bold'><o:p></o:p></span></b></span></font></p>
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font-family:Arial'><o:p> </o:p></span></font></p>
<p class=MsoNormal><font size=3 face=Arial><span style='font-size:12.0pt;
font-family:Arial'>Where:
TTI-C Conference Room<o:p></o:p></span></font></p>
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font-family:Arial'><o:p> </o:p></span></font></p>
<p style='margin:0in;margin-bottom:.0001pt'><font size=3 face=Arial><span
style='font-size:12.0pt;font-family:Arial'>Who:
Narayana Santhanam, <st1:PlaceType w:st="on">University</st1:PlaceType>
of <st1:PlaceName w:st="on">California</st1:PlaceName>, <st1:place w:st="on"><st1:City
w:st="on">Berkeley</st1:City></st1:place><o:p></o:p></span></font></p>
<p class=MsoNormal><font size=3 face=Arial><span style='font-size:12.0pt;
font-family:Arial'><o:p> </o:p></span></font></p>
<p class=MsoNormal style='text-autospace:none'><font size=3 face=Arial><span
style='font-size:12.0pt;font-family:Arial'>Topic:
High
dimension statistical problems: practice and theory<o:p></o:p></span></font></p>
<p class=MsoNormal><font size=3 face=Arial><span style='font-size:12.0pt;
font-family:Arial'><o:p> </o:p></span></font></p>
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style='font-size:12.0pt;font-family:Arial'><o:p> </o:p></span></font></p>
<p class=MsoNormal style='text-autospace:none'><font size=3 face=Arial><span
style='font-size:12.0pt;font-family:Arial'>For advances in biology, computation
and storage, we have invited the "curse of dimensionality" upon many
problems that concern the modern engineer. The colorful phrase in quotes coined
by Bellman refers to the usual inability of classical methods to handle problem
instances wherein the number of parameters associated with each data sample is
comparable to number of samples we have to work on.<o:p></o:p></span></font></p>
<p class=MsoNormal style='text-autospace:none'><font size=3 face=Arial><span
style='font-size:12.0pt;font-family:Arial'><o:p> </o:p></span></font></p>
<p class=MsoNormal style='text-autospace:none'><font size=3 face=Arial><span
style='font-size:12.0pt;font-family:Arial'>In this talk we focus on the problem
of discrete distribution estimation in the undersampled regime, and develop theory
to tackle this problem using ideas from information theory, number theory,
combinatorics, analysis as well as tools in statistical learning. This
framework encompasses well known algorithms including the Laplace and Good
Turing estimator.<o:p></o:p></span></font></p>
<p class=MsoNormal style='text-autospace:none'><font size=3 face=Arial><span
style='font-size:12.0pt;font-family:Arial'><o:p> </o:p></span></font></p>
<p class=MsoNormal style='text-autospace:none'><font size=3 face=Arial><span
style='font-size:12.0pt;font-family:Arial'>We apply these approaches to
classifying text, and obtain very fast algorithms that stand up to (and in many
cases, beat) support vector machines in both performance and speed.<o:p></o:p></span></font></p>
<p class=MsoNormal style='text-autospace:none'><font size=3 face=Arial><span
style='font-size:12.0pt;font-family:Arial'><o:p> </o:p></span></font></p>
<p class=MsoNormal style='text-autospace:none'><font size=3 face=Arial><span
style='font-size:12.0pt;font-family:Arial'>The big picture is to see this work
as source coding driven by data analysis, complementing the traditional
communication/storage driven models. We conclude with a brief preview of some
of the directions in which we are developing this work.<o:p></o:p></span></font></p>
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style='font-size:12.0pt;font-family:Arial'><o:p> </o:p></span></font></p>
<p class=MsoNormal style='text-autospace:none'><font size=3 face=Arial><span
style='font-size:12.0pt;font-family:Arial'>Bio: Narayana Santhanam is a
postdoctoral researcher hosted by Prof. Martin Wainwright in UC Berkeley. He
obtained the B.Tech degree from IIT Madras, and MS and PhD with Prof. Alon
Orlitsky from UC San Diego. He is interested in theory and applications related
to high dimensional problems, statistical learning, information theory and
combinatorial/probabilistic problems in general.<o:p></o:p></span></font></p>
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style='font-size:12.0pt;font-family:Arial'><o:p> </o:p></span></font></p>
<p class=MsoNormal style='text-autospace:none'><font size=3 face=Arial><span
style='font-size:12.0pt;font-family:Arial'>He is the recipient of the 2006
Information theory society award and the 2003 Capocelli Prize.<o:p></o:p></span></font></p>
<p class=MsoNormal><font size=3 face=Arial><span style='font-size:12.0pt;
font-family:Arial'><o:p> </o:p></span></font></p>
<p class=MsoNormal><font size=3 face=Arial><span style='font-size:12.0pt;
font-family:Arial'>Contact:
Nathan Srebro,
TTI-C nati@tti-c.org
834-7493<o:p></o:p></span></font></p>
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