• Modern Bayesian nonparametrics (with Yee Whye Teh).
    NIPS Tutorial, 2011.
    [Slides] [Video (YouTube)]
  • Bayesian nonparametrics.
    Machine Learning Summer School 2012.
    [Slides I] Clustering, Dirichlet processes, IBPs
    [Slides II] Gaussian processes, exchangeability, asymptotics
  • Theoretical Foundations of Nonparametric Bayesian Models.
    Machine Learning Summer School 2009.
  • Nonparametric priors for exchangeable graphs and arrays.
    [Slides] [Video]
  • Bayesian Models for Graph Data and the Open Problem of Invariance in Networks.
    [Video] [Video mp4 file]
  • Random measures generating binary matrices.
    [Video] [Video mp4 file]
  • Projective limit techniques in Bayesian nonparametrics.
  • Exchangeability, symmetry, and sufficiency.
  • Partition priors in computer vision.