Skip to content
View superlj666's full-sized avatar

Highlights

  • Pro
Block or Report

Block or report superlj666

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Pinned

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

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

    Python 5 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 1

  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