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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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workshops (2009)

  • NIPS 2009 Workshop on Temporal Segmentation
    Data with temporal (or sequential) structure arise in several applications, such as speaker diarization, human action segmentation, network intrusion detection, DNA copy number analysis, and neuron activity modelling, to name a few. The purpose of this workshop is to bring together experts working on temporal segmentation from the statistics, machine learning, and signal processing communities, to address a broad range of applications from robotics to neuroscience, and to define the current and future challenges in the field.
    Web page

  • NIPS 2009 Workshop on Large-Scale Machine Learning: Parallelism and Massive Datasets
    Prior NIPS workshops have focused on the topic of scaling machine learning, which remains an important developing area. We introduce a new perspective by focusing on how large-scale machine learning algorithms should be informed by future parallel architectures. By bringing together experts from computer architectures, parallel algorithms, and scientific computing, and machine learning we will develop a concrete research agenda for large-scale learning on parallel architectures.
    Web page

workshops (2004-2008)

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