Sam Gershman: Structure Learning, Clusters, Features, and Functions
Topics: Basic introduction to parameter learning, structure learning, nonparametric Bayes, mixture models, conditioning as clustering, learning relational concepts, multi-level category learning, latent feature models, function learning, Gaussian processes, and human function learning