Invited Talks/Visits
2015
-
June, Deep Learning Workshop, Samsung, Montreal
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June, Statistical View of Deep Learning,
Interface Conference
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April, Deep Learning workshop, Naver, Seoul
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April, Deep Learning Summit, Samsung, Seoul
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April, Machine Learning Department, CMU
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March, CSE, University of Washington
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Jan 22, Fields Institute, Deep Learning,
Thematic Program on Statistical Inference, Learning, and Models for Big Data.
- Jan 16, UC Berkeley, Image Caption Generation Workshop.
2014
- Nov 10-11, Samsung, Seoul, Korea
- Oct 20, Johns Hopkins University
- Aug 24, Deep Learning Tutorial, KDD
- July, Microsoft Faculty Summit
- June 15, Machine Learning Summer School, Beijing
- June 11, Conference of the ASA Section
on Statistical Learning and Data
Mining, Duke University.
- May 26, 2104, Statistical Society of Canada, Toronto
- May 8 2014,
Google DeepMind, London, UK
- May 7 2014,
Dept. of Engineering Science, University of Oxford
- May 5, 2104, School of Informatics, University of Edinburgh
- April 2, Department of Computer Science, Duke University
- March 14, Department of Computer Science, UCLA
- March 13, Department of Computer Science, University of New Mexico
- March 7, BIRS Workshop on Advances in Scalable Bayesian Computation, Banff
- Feb 10, 2014, BIRS Workshop on Statistical and Computational
Theory and Methodology
for Big Data Analysis, Banff
2013
- Dec 11, 2013, eBay, San Jose.
- Nov 24, 2013, Workshop on
Learning Data Representation: Hierarchies and Invariance, MIT
- Nov 10, 2013, Workshop on Information-Based Induction Sciences (IBIS), Tokyo, Japan.
- Oct 18, Keynote Speaker, 2nd Rochester Big Data Forum, Rochester
- Sep 20, University of Waterloo
- Aug 3, 2013, Joint Statistical Meeting, Session on Recent Developments in High-dimensional Statistical Learning.
- July 15, Microsoft Faculty Summit, Redmond.
- June 21, ICML workshop on Representation Learning, Atlanta.
- May 13-15, NSF Workshop on Computational Models of Cognition, Arlington.
- May 4, 2013, International Conference on Learning Representations
ICLR,
Scottsdale, AZ.
- April 16, TTI Chicago
- April 7, 2013,
Tutorial on Deep Learning at
the
International Symposium on Biomedical Imaging.
- March 18, 2013 Microsoft Research, Redmond.
- Jan 28, 2013, Harvard University
2012
-
NIPS 2012 Workshop on Deep Learning and Unsupervised Feature Learning,
Lake Tahoe, Nevada, Dec 7, 2012.
- Oct 25, 2012
Department of Statistics and Computer Science, Purdue University.
- Aug 9, 2012
Ebay Research, San Jose, CA.
- Aug 8, 2012
Google Research, Mountain View, CA.
- Aug 7, 2012
Lawrence Berkeley National Laboratory, Berkeley.
- July 23-25, 2012
Guest Lecture,
IPAM summer school, UCLA.
- June 26, 2012
ISBA World Meeting,
Talk at the Special Topic Session on Adaptive Monte Carlo,
Kyoto, Japan.
- June 17, 2012
CVPR, Providence, Rhode Island,
Deep Learning Tutorial.
- May 31, 2012,
Invited Talk at the
International Workshop on
Perspectives on High-dimensional Data Analysis, Montreal.
- May 11, 2012, Guest Lecture for COGS 200: Back propagation 25 years later,
UC San Diego.
- April 16, 2012 Invited Talk, NSF Automatic Machine Learning Workshop, Washington D.C.
- March 31 - April 1, 2012
Invited Talk at the International Workshop on Statistical Machine Learning for Speech Processing, Kyoto, Japan. - March 30, 2012
Tokyo Institute of Technology. Department of Computer Science - March 2, 2012
Seminar Series in Computational Statistics, Department of Statistics, University of Guelph
2011
- Dec 16-17: Invited talk at the NIPS 2011 Workshop on Beyond Mahalanobis: Supervised Large-Scale Learning of Similarity, Sierra Nevada, Spain.
- Dec 16-17: Contributed talk at the NIPS 2011 Workshop on Domain Adaptation: Theory and Applications. , Sierra Nevada, Spain.
- Dec 9-10, CIFAR NCAP Workshop, Granada, Spain.
- Dec 1-2: Invited talk at the 2011 Symposium on Advances in Intelligent Systems, University of Waterloo.
- Aug 2-6, 2100
Tutorial on Learning Rich Generative Models at the CIFAR summer school 2011, University of Toronto - July 6-16i, 2011
Guest lecture at the IPAM Graduate Summer School: Probabilistic Models of Cognition, UCLA - July 2, 2011
ICML 2011 Workshop on Unsupervised and Transfer Learning, Bellevue, Washington. - June 5-6, 2011
Workshop on Infusing Statistics and Engineering, Harvard University - May 11, 2011
Yahoo Research, New York - April 20, 2011
Department of Statistics, Stanford - April 11-12, 2011
Machine Learning Department, CMU - Mar 31 - Apr 1, 2011
EECS, MIT - Mar 24-25, 2011
Computer Science Department, Princeton University - Mar 8-9, 2011
Computer Science Department, Stanford - Mar 3-4, 2011
Department of Statistics, University of Toronto - Mar 1, 2011
Department of Computer Science, Johns Hopkins University - Feb 24, 2011
Toyota Technological Institute at Chicago - Feb 21, 2011
Department of Computer Science, University of Rochester - Feb 17-18, 2011
Computer Science & Engineering, University of Washington - Feb 14-15, 2011
Computer Science Department, UMass Amherst - Feb 7-8, 2011
Computer Science, Harvard University
2010
- October 6, 2011
Pattern Theory Lunch Seminar Series, Applied Math, Brown University - October 1, 2011
Artificial Intelligence Seminar, Cornell University - Aug 10, 2010
The 43rd Annual Meeting of the Society for Mathematical Psychology (MathPsych 2010), Portland, Oregon
Invited talk:
One-Shot Learning with Hierarchical Bayes
- July 10, 2010
Cognitive and Neural Models for Automated Processing of Speech and Text (CONAS 2010), Ghent, Belgium
Invited talk: Learning Deep Boltzmann Machines
- May 7, 2010
Center for Brain Science, Harvard University - Apr 17, 2010
24th New England Statistics Symposium, Harvard University - Mar 25, 2010
Machine Learning Lunch, University of Massachusetts Amherst - Jan 19, 2010
TTI Chicago
2009
- Dec 12, 2009
NIPS 2009 Workshop on the Generative and Discriminative Learning Interface
Invited Talk: Learning Feature Hierarchies by Learning Generative Models
- Dec 2, 2009
Stochastic Systems Group, MIT. - October 21, 2011
CBCL Seminar, Brain and Cognitive Sciences, MIT - October 13, 2011
Vision Seminar, CSAIL, MIT - July 8, 2009
Deep Learning Workshop, Gatsby, UCL - April 2009
Snowbird workshop
Invited Talk: Deep Boltzmann Machines
- March 2009
Microsoft Research, Redmond
2008 and Earlier
- Dec 2008
NIPS 2008 Workshop on Approximate inference - How far have we come?
Invited Talk: Learning and Evaluating Boltzmann Machines
- Oct 2007
Workshop on Numerical Tools and Fast Algorithms for Massive Data Mining, Search Engines and Applications. , IPAM, UCLA
Invited Talk: Deep Belief Networks with applications to Fast Document Retrieval
- June 2007
MS-MITACS Joint Conference
Invited Talk: Nonlinear Dimensionality Reduction
- March 2007
Snowbird workshop
Invited Talk: Deep Belief Nets
(ps.gz,
pdf).
- Dec 2006
NIPS06 workshop on Novel Applications of Dimensionality Reduction
Invited Talk: Nonlinear Dimensionality Reduction
(ps.gz,
pdf,
abstract ps.gz).
[ | Information | Research | Teaching | Professional | ]
Ruslan Salakhutdinov, Department of Statistics and Computer Science, University of Toronto, http://www.cs.toronto.edu/~rsalakhu/