[Lisa_teatalk] Tea Talk Friday, NEW TIME!

Aaron Courville aaron.courville at gmail.com
Tue Nov 1 18:12:16 EDT 2011


Due to a conflicting Ubisoft meeting we have rescheduled Ian's Tea Talk for
Friday at 11h30. Original message, including the abstract, below.

i.e.
New Date/Time: Friday Nov. 4th / 11h30

Cheers,
Aaron



On Tue, Nov 1, 2011 at 6:20 AM, Aaron Courville
<aaron.courville at gmail.com>wrote:

> Due to travel by some of us to a DARPA-related meeting. The tea talk this
> week has been moved to Friday. Hope you all can make it -- this talk should
> be of interest to everyone and particularly for the newer students that may
> not have had much previous exposure to statistical learning theory. The
> talk will be given by Ian Goodfellow.
>
> Date/Time: Friday Nov. 4th / 14h00
> Location: LISA Lab (AA3256)
>
> Title: Statistical Learning Theory
>
> Abstract:
> I will give a tutorial on statistical learning theory. First I will
> show how to prove some simple probabilistic guarantees on the
> generalization error of a classifier in the PAC learning framework
> using Chebyshev's inequality. Next I will discuss how to extend these
> bounds to more realistic settings using the concept of
> Vapnik-Chervonenkis dimension. Finally I will compare structural risk
> minimization, a model selection principle based on statistical
> learning theory, to other methods of obtaining low generalization
> error.
>
>
> Cheers,
> Aaron
>
> --
> Aaron C. Courville
> Département d’Informatique et
> de recherche opérationnelle
> Université de Montréal
> email:Aaron.Courville at gmail.com
>
>
>


-- 
Aaron C. Courville
Département d’Informatique et
de recherche opérationnelle
Université de Montréal
email:Aaron.Courville at gmail.com
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