Invited Talks/Visits
2015

June, Deep Learning Workshop, Samsung, Montreal

June, Statistical View of Deep Learning,
Interface Conference

April, Deep Learning workshop, Naver, Seoul

April, Deep Learning Summit, Samsung, Seoul

April, Machine Learning Department, CMU

March, CSE, University of Washington

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 1011, 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 InformationBased 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 Highdimensional Statistical Learning.
 July 15, Microsoft Faculty Summit, Redmond.
 June 21, ICML workshop on Representation Learning, Atlanta.
 May 1315, 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 2325, 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 Highdimensional 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 1617: Invited talk at the NIPS 2011 Workshop on Beyond Mahalanobis: Supervised LargeScale Learning of Similarity, Sierra Nevada, Spain.
 Dec 1617: Contributed talk at the NIPS 2011 Workshop on Domain Adaptation: Theory and Applications. , Sierra Nevada, Spain.
 Dec 910, CIFAR NCAP Workshop, Granada, Spain.
 Dec 12: Invited talk at the 2011 Symposium on Advances in Intelligent Systems, University of Waterloo.
 Aug 26, 2100
Tutorial on Learning Rich Generative Models at the CIFAR summer school 2011, University of Toronto  July 616i, 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 56, 2011
Workshop on Infusing Statistics and Engineering, Harvard University  May 11, 2011
Yahoo Research, New York  April 20, 2011
Department of Statistics, Stanford  April 1112, 2011
Machine Learning Department, CMU  Mar 31  Apr 1, 2011
EECS, MIT  Mar 2425, 2011
Computer Science Department, Princeton University  Mar 89, 2011
Computer Science Department, Stanford  Mar 34, 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 1718, 2011
Computer Science & Engineering, University of Washington  Feb 1415, 2011
Computer Science Department, UMass Amherst  Feb 78, 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:
OneShot 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
MSMITACS 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/