[Colloquium] TTIC Talks: Arthur Szlam, NYU

[Liv Leader]

*REMINDER:*

When:      *Thursday, March 31 @ 11*

Where:     *TTIC Conference Room #526*, 6045 S. Kenwood Ave, 5th Floor

Who:      * Arthur Szlam*, NYU

Title:       * Linear and piecewise linear analysis of data*

Many data sets arising from signal processing or machine learning problems
can be approximately modeled as a union of $K$ low dimensional linear sets.
In this talk I will start by discussing the case $K=1$.  Despite more than a
hundred years of history and a good understanding of the mathematics of the
problem for many notions of ``approximately'' and ``low'', this case remains
a surprisingly active area of research. For larger values of $K$, although
heuristic methods have proved succesful in applications, many basic
mathematical and computational questions remain open.  I will talk about an
example with $K>1$ where we have made progress, but there still remains work
to do, and then give some fun examples where the math remains mostly murky.

Host: Nati Srebro, nati at ttic.edu

-- 
Liv Leader
Faculty Services

Toyota Technological Institute
6045 S Kenwood Ave, #504
Chicago, IL 60637
Phone- (773) 834-2567
Fax-     (773) 834-9881
Email-  lleader at ttic.edu <jam at ttic.edu>
Web-   www.ttic.edu
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