Lisa_seminaires Décembre 2014

lisa_seminaires@iro.umontreal.ca

3 participants
3 discussions

Re: [Lisa_seminaires] Schedule of Talks before and after NIPS 2014
by Kyung Hyun Cho 16 Déc '14

16 Déc '14

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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Schedule of Talks before and after NIPS 2014
by Kyung Hyun Cho 15 Déc '14

15 Déc '14

Dear all, We will have a number of visitors at the lab before and after NIPS 2014. Many of the talks will be interesting to many of the lab members, and I would like to recommend all to be at all of the talks. Also, I'd like to warmly welcome anyone on this mailing list who's not at the LISA lab to attend the talks. Most of the talks will be held at AA3195 (Pavillon André-Aisenstadt, 2920 Chemin de la tour, Montréal). Please, check back frequently for the locations of the talks on http://lisa.iro.umontreal.ca/seminars_en.html. There may be a few more talks added in a next few days, so again, please check the schedule online frequently. Best, - Cho *= Schedule = * + *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) - 13.30 - 14.30 <TBD> by Prof. Yung-Kyun Noh (KAIST) + *16 Dec 2014* (Tue) - 13.30 - 14.30 <General Stochastic Networks for Classification> by Matthias Zohrer (TU Graz)

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[URGEN] Re: Schedule of Talks before and after NIPS 2014
by Kyung Hyun Cho 04 Déc '14

04 Déc '14

Dear all, I made a huge mistake in the last email announcing that the talk this afternoon will be at AA3195. That is wrong! The talk will start in *20 min* at *Z-209* in the main building (Roger Gaudry). Sorry about the confusion! - Cho On Wed, Dec 3, 2014 at 7:46 PM, Kyung Hyun Cho <cho.k.hyun(a)gmail.com> wrote: > Dear all, > > This is a reminder of *two* talks scheduled tomorrow. The first talk will > be given by Xinyi Chen and Peng (Eric) Ding from DeepGlint. The second talk > will be given by Sarath Chandar from IBM India. > > Both of these talks will be at AA3195. The first one starts at 10.30, and > the second one at 13.30. > > Hope to see many of you there! > - Cho > > P.S. I will probably prepare snacks only for the afternoon's talk, unless > anyone objects. Anyone who objects to this is kindly asked to bring snacks > for everyone to the morning's talk :) > > *= 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)* > - 13.30 - 14.30 <General Stochastic Networks for Classification> by > Matthias Zohrer (TU Graz) > > >

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Lisa_seminaires Décembre 2014