links

Select Lab ML Department

Secondary affiliation I am also afflilated with the MPI for Biological Cybernetics as a research scientist.
MPI homepage

Recent work • Kernel choice and classifiability for RKHS embeddings of probability distributions, NIPS 2009, oral, honorable mention for outstanding student paper
• A Fast, Consistent Kernel Two-Sample Test , NIPS 2009, spotlight
• Nonlinear directed acyclic structure learning with weakly additive noise models , NIPS 2009
• Temporal Kernel CCA and its Application in Multimodal Neuronal Data Analysis , Machine Learning, 2009

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software

  • Fast Kernel ICA
    Kernel ICA uses kernel measures of statistical independence to separate linearly mixed sources. We have made this process much faster by using an approximate Newton-like method on the special orthogonal group to perform the optimisation.
    Matlab code

  • Kernel Two-Sample Test
    A kernel method to perform a statistical test of whether two samples are from different distributions. This test can be applied to high dimensional data, as well as to non-vectorial data such as graphs (i.e., wherever kernels provide a similarity measure).
    Matlab code

  • Kernel Independence Test
    A statistical test of whether two random variables are independent. As with the two-sample test above, the independence test relies on kernels, and can be used for high dimensional and non-vectorial data (e.g. strings).
    Matlab code

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