IAM-PIMS-MITACS Distinguished Colloquium Series: Albert Cohen (Université Pierre et Marie Curie)
- Date: 03/14/2011
University of British Columbia
Approximating Functions in High Dimensions
This talk will discuss mathematical problems which are challenged by the
fact they involve functions of a very large number of variables. Such
problems arise naturally in learning theory, partial differential
equations or numerical models depending on parametric or stochastic
variables.
They typically result in numerical difficulties due to the so-called
''curse of dimensionality''. We shall explain how these difficulties may
be handled in various contexts, based on two important concepts: (i)
variable reduction and (ii) sparse approximation.
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Albert Cohen obtained his doctorate degree in 1990 at Universite
Paris IX-Dauphine, and then spent two years as a postdoctoral fellow at
Bell-ATT Laboratories in Murray Hill, New Jersey. After defending his
habilitation at Paris IX-Dauphine in 1992, he became a researcher at
École Nationale Supérieure de Techniques Avancées in Paris. Since 1995,
he has been a professor at Laboratoire Jacques-Louis Lions, Université
Pierre et Marie Curie. He is a laureate of the V. A. Popov Prize in
approximation theory (1995), the J. Herbrant Prize of the French Academy
of Sciences (2000), and the Blaise Pascal Prize of SMAI and Academie
des Sciences (2004).
3:00pm-4:00pm, LSK 301
This is the 5th lecture of the 2010-11 IAM-PIMS-MITACS
Distinguished Colloquium Series. For full details, visit: