Multilinear Spectral Regularization for Kernel-based Multitask Learning

  title={Multilinear Spectral Regularization for Kernel-based Multitask Learning},
  author={Marco Signoretto},
Recent research in machine learning witnessed a renewed interest in tensors. In particular, multilinear algebra has been leveraged to derive structured finite dimensional parametric models [1, 2]. In [3] these ideas have been generalized to reproducing kernel Hilbert spaces. The arising framework comprises existing problem formulations, such as tensor completion [4], as well as novel functional formulations. The approach is based on a class of regularizers for tensor product functions, termed… CONTINUE READING

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