[Lisa_seminaires] Schedule of Talks before and after NIPS 2014

Kyung Hyun Cho cho.k.hyun at gmail.com
Mar 16 Déc 10:19:20 EST 2014


Dear all,

Due to a number of meetings ending at 11 this morning, *the first talk
today will start at 11*, instead of the originally scheduled 10.30.

On Mon, Dec 15, 2014 at 3:56 PM, Kyung Hyun Cho <cho.k.hyun at gmail.com>
wrote:

> Dear all,
>
> It is the final day of our Pre-/Post- NIPS seminar series tomorrow! Those
> two talks will also conclude the series of talks we have had this year
> (2014). Both of the talks will be held at the usual place at 10.30 and at
> 13.30.
>
> - 10.30 - 11.30 <15 million predictions per seconds: the scientific
> challenges at Criteo> by Nicolas le Roux (Criteo)
> - 13.30 - 14.30 <General Stochastic Networks for Classification> by
> Matthias Zohrer (TU Graz)
>
> Hope to see many of you tomorrow!
> - Cho
>
> *= Schedule =*
>
> Available also at: http://lisa.iro.umontreal.ca/seminars_en.html
>
> + 3 Dec 2014 (Wed)
>   - 13.30 - 14.30 <A Multiplicative Model for Learning Distributed
> Text-Based Attribute Representations> by Ryan Kiros (University of Toronto)
>
> + 4 Dec 2014 (Thu)
>   - 10.30 - 11.30 <What if computer can perceive the world like we do?> by
> Xinyi Chen, Peng (Eric) Ding (DeepGlint)
>   - 13.30 - 14.30 <Learning Compact Yet Rich Models for Text> by Sarath
> Chandar (IBM India)
>
> + 5 Dec 2014 (Fri)
>   - 10.30 - 11.30 <Joint Training of Deep Autoencoders> by Dr. Yingbo Zhou
> (University at Buffalo, The State University of New York)
>   - 13.30 - 14.30 <How Watson Learns Superhuman Jeopardy! Strategies> by
> Dr. Gerald Tesauro (IBM T. J. Watson Research Center)
>
> + 15 Dec 2014 (Mon)
>   - 10.30 - 11.30 <On the Number of Linear Regions of Deep Neural
> Networks> by Dr. Guido Montufar <MPI MIS>
>   - 13.30 - 14.30 <Machine Learning with Nearest Neighbors> by Prof.
> Yung-Kyun Noh (KAIST)
>
> *+ 16 Dec 2014 (Tue)*
> *  - 10.30 - 11.30 <15 million predictions per seconds: the scientific
> challenges at Criteo> by Nicolas le Roux (Criteo)*
> *  - 13.30 - 14.30 <General Stochastic Networks for Classification> by
> Matthias Zohrer (TU Graz)*
>
>
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