Yoshua Bengio
homepage:http://www.iro.umontreal.ca/~bengioy/yoshua_en/index.html
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Description

Yoshua Bengio is Full Professor of the Department of Computer Science and Operations Research, head of the Machine Learning Laboratory (LISA), CIFAR Fellow in the Neural Computation and Adaptive Perception program, Canada Research Chair in Statistical Learning Algorithms, and he also holds the NSERC-Ubisoft industrial chair. His main research ambition is to understand principles of learning that yield intelligence. He teaches a graduate course in Machine Learning (IFT6266) and supervises a large group of graduate students and post-docs. His research is widely cited (over 16000 citations found by Google Scholar in early 2014, with an H-index of 55).

Yoshua Bengio is currently action editor for the Journal of Machine Learning Research, editor for Foundations and Trends in Machine Learning, and has been associate editor for the Machine Learning Journal and the IEEE Transactions on Neural Networks.

Yoshua Bengio was Program Chair for NIPS'2008 and General Chair for NIPS'2009 (NIPS is the flagship conference in the areas of learning algorithms and neural computation). Since 1999, he has been co-organizing the Learning Workshop with Yann Le Cun, with whom he has also created the International Conference on Representation Learning (ICLR). He has also organized or co-organized numerous other events, such as the ICML'2012 Representation Learning Workshop, the NIPS'2011 Deep Learning and Unsupervised Feature Learning Workshop, the NIPS'2010 Deep Learning and Unsupervised Feature Learning Workshop, the ICML'2009 Workshop on Learning Feature Hierarchies and the NIPS'2007 Deep Learning Workshop.


Lectures:

lecture
flag Recurrent Neural Networks (RNNs)
as author at  Deep Learning (DLSS) and Reinforcement Learning (RLSS) Summer School, Montreal 2017,
2246 views
  invited talk
flag Recurrent Neural Networks
as author at  Deep Learning Summer School, Montreal 2016,
5504 views
tutorial
flag Deep Generative Models
as author at  Deep Learning Summer School, Montreal 2015,
2258 views
  tutorial
flag Deep Learning:Theoretical Motivations
as author at  Deep Learning Summer School, Montreal 2015,
10321 views
tutorial
flag Scaling Up Deep Learning
as author at  20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), New York 2014,
2028 views
  invited talk
flag GSNs: Avoiding the Intractability of Marginalization by Learning the Transition Operator of a Markov Chain
as author at  NIPS Workshops, Lake Tahoe 2013,
22 views
lecture
flag The Neural Autoregressive Distribution Estimator, incl. discussion by Yoshua Bengio
as author at  14th International Conference on Artificial Intelligence and Statistics (AISTATS), Ft. Lauderdale 2011,
together with: Hugo Larochelle,
522 views
  lecture
flag Learning Deep Hierarchies of Representations
as author at  VideoLectures.NET - Single Lectures Series,
together with: Samy Bengio (introducer),
2899 views
tutorial
flag Tutorial on Learning Deep Architectures
as author at  Workshops,
together with: Yann LeCun,
6147 views
  lecture
flag Curriculum Learning
as author at  Sessions,
582 views
lecture
flag Speeding Up Stochastic Gradient Descent
as author at  NIPS Workshop on Efficient Machine Learning, Whistler 2007,
2407 views