Invited Talks / Workshops/ Visits

2011

  • 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).