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1. Automated-Spectral-Kernel-Learning Automated-Spectral-Kernel-Learning Public

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

   Python 6 1

2. Learning-Vector-valued-Functions-with-Local-Rademacher-Complexity Learning-Vector-valued-Functions-with-Local-Rademacher-Complexity Public

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

   MATLAB 1

3. Distributed-Learning-with-Random-Features Distributed-Learning-with-Random-Features Public

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

   MATLAB 3 1

4. Multi-Class-Learning-From-Theory-to-Algorithm Multi-Class-Learning-From-Theory-to-Algorithm Public

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

   MATLAB

5. Multi-Class-Learning-using-Unlabeled-Samples-Theory-and-Algorithm Multi-Class-Learning-using-Unlabeled-Samples-Theory-and-Algorithm Public

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

   MATLAB

6. Approximate-Manifold-Regularization-Scalable-Algorithm-and-Generalization-Analysis Approximate-Manifold-Regularization-Scalable-Algorithm-and-Generalization-Analysis Public

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

   MATLAB 2 4