Jian Li (superlj666)

superlj666

Geek Repo

Company:IIE, CAS

Location:Beijing, China

Home Page:lijian.ac.cn

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Jian Li's repositories

superlj666.github.io

Github Pages template for academic personal websites

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Automated-Spectral-Kernel-Learning

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

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Distributed-Learning-with-Random-Features

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

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Approximate-Manifold-Regularization-Scalable-Algorithm-and-Generalization-Analysis

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

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Learning-Vector-valued-Functions-with-Local-Rademacher-Complexity

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

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Multi-Class-Learning-From-Theory-to-Algorithm

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

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NGAE

The implementation of NGAE

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Multi-Class-Learning-using-Unlabeled-Samples-Theory-and-Algorithm

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

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Agnostic-RF

Experiments for the TNNLS paper "Optimal Convergence for Agnostic Kernel Learning with Random Features"

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CSKN

Convolutional Spectral Kernel Network

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DISTRE

Fine-tuning Pre-Trained Transformer Language Models to Distantly Supervised Relation Extraction - ACL 2019

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DNystroem

Experiments for the JMLR paper "Optimal Convergence Rates for Distributed Nystroem Approximation"

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FALKON_paper

FALKON implementation used in the experimental section of "FALKON: An Optimal Large Scale Kernel Method"

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Max-Diversity-Distributed-Learning-Theory-and-Algorithms

Codes and experiments for the paper "Max-Discrepancy Distributed Learning: Fast Risk Bounds and Algorithms"

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rdpwrap.ini

RDPWrap.ini for RDP Wrapper Library by Stas'M

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