[Colloquium] REMINDER: 11/20 Distinguished Lecture Series: Yoshua Bengio, Universite′ de Montréal

[Mary Marre]

*Distinguished Lecture Series: Yoshua Bengio, Universite*′ *de Montreal*

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*Friday, November 20, 2015 at 11:00 am*
*Toyota Technological Institute at Chicago*
*6045 S. Kenwood Avenue*
*Room #526​*

*Yoshua Bengio*
Professor of Computer Science and Operations Research
Canada Research Chair in Statistical Learning Algorithms
Universite′ de Montréal


*Title:* Deep Learning Theory


*Abstract:* Although neural networks have long been considered lacking in
theory and much remains to be done, theoretical evidence is mounting and
will be discussed, to support distributed representations, depth of
representation, the non-convexity of the training objective, and the
probabilistic interpretation of learning algorithms (especially of the
auto-encoder type, which were lacking one). The talk will focus on the
intuitions behind these theoretical results.


*Bio:*  Yoshua Bengio received a PhD in Computer Science from McGill
University, Canada in 1991. After two post-doctoral years, one at M.I.T.
with Michael Jordan and one at AT&T Bell Laboratories with Yann LeCun and
Vladimir Vapnik, he became professor at the Department of Computer Science
and Operations Research at Université de Montréal. He is the author of two
books and around 200 publications, the most cited being in the areas of
deep learning, recurrent neural networks, probabilistic learning
algorithms, natural language processing and manifold learning. He is among
the most cited Canadian computer scientists and is or has been associate
editor of the top journals in machine learning and neural networks. Since
'2000 he holds a Canada Research Chair in Statistical Learning Algorithms,
since '2006 an NSERC Industrial Chair, since '2005 his is a Fellow of the
Canadian Institute for Advanced Research. He is on the board of the NIPS
foundation and has been program chair and general chair for NIPS. He has
co-organized the Learning Workshop for 14 years and co-created the new
International Conference on Learning Representations. His current interests
are centered around a quest for AI through machine learning, and include
fundamental questions on deep learning and representation learning, the
geometry of generalization in high-dimensional spaces, manifold learning,
biologically inspired learning algorithms, and challenging applications of
statistical machine learning.



*Host:* Karen Livescu; klivescu at ttic.edu


Mary C. Marre
Administrative Assistant
*Toyota Technological Institute*
*6045 S. Kenwood Avenue*
*Room 504*
*Chicago, IL  60637*
*p:(773) 834-1757*
*f: (773) 357-6970*
*mmarre at ttic.edu <mmarre at ttic.edu>*
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