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Gatsby Computational Neuroscience Unit CSML University College London

Collaborations • I am afflilated with the MPI for Biological Cybernetics as a research scientist.
• I am in collaboration with the Select Lab at CMU.

Contact arthur.gretton@gmail.com
Gatsby Computational Neuroscience Unit
Alexandra House
17 Queen Square
London - WC1N 3AR

Phone
207-679 1186

Recent courses

• Advanced Topics in Machine Learning: COMPGI13
  This course comprises 15 hours on kernel methods, and 15 hours on reinforcement learning. The kernel part covers: construction of RKHS, in terms of feature spaces and smoothing properties; simple linear algorithms in RKHS (PCA, ridge regression); kernel methods for hypothesis testing (two-sample, independence); support vector machines for classification, including both the C-SVM and nu-SVM; and further applications of kernels (feature selection, clustering, ICA). There is an additional component (not assessed) on theory of reproducing kernel Hilbert spaces.
  Course web page
  
  
• Short course on adaptive modelling
  This course comprises three hours of lectures, and a three hour practical session. Material includes construction of RKHS, in terms of feature spaces and smoothing properties; simple linear algorithms in RKHS (PCA, ridge regression); and support vector machines for classification.
  Course web page