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  1. Codes and experiments for paper "Automated Spectral Kernel Learning". Preprint.

    Python 1

  2. Codes and experiments for the paper "Learning Vector-valued Functions with Local Rademacher Complexity". Preprint.

    MATLAB

  3. Codes and experiments for paper "Distributed Learning with Random Features". Preprint.

    MATLAB 1

  4. Codes and experiments for "Multi-Class Learning: From Theory to Algorithm", published in NeurIPS 2018

    MATLAB 1

  5. Codes and experiments for "Multi-Class Learning using Unlabeled Samples: Theory and Algorithm", published in IJCAI 2019

    MATLAB

  6. Experiement in paper "Approximate Manifold Regularization: Scalable Algorithm and Generalization Analysis", published in IJCAI 2019

    MATLAB 2 2

11 contributions in the last year

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January - March 2020

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