Kwok, James Tin-Yau

10 publications

ICML 2021 SparseBERT: Rethinking the Importance Analysis in Self-Attention Han Shi, Jiahui Gao, Xiaozhe Ren, Hang Xu, Xiaodan Liang, Zhenguo Li, James Tin-Yau Kwok

ICML 2020 Searching to Exploit Memorization Effect in Learning with Noisy Labels Quanming Yao, Hansi Yang, Bo Han, Gang Niu, James Tin-Yau Kwok

ICML 2019 Efficient Nonconvex Regularized Tensor Completion with Structure-Aware Proximal Iterations Quanming Yao, James Tin-Yau Kwok, Bo Han

ICML 2018 Lightweight Stochastic Optimization for Minimizing Finite Sums with Infinite Data Shuai Zheng, James Tin-Yau Kwok

ICML 2018 Online Convolutional Sparse Coding with Sample-Dependent Dictionary Yaqing Wang, Quanming Yao, James Tin-Yau Kwok, Lionel M. Ni

AAAI 2017 Efficient Sparse Low-Rank Tensor Completion Using the Frank-Wolfe Algorithm Xiawei Guo, Quanming Yao, James Tin-Yau Kwok

AISTATS 2014 Accelerated Stochastic Gradient Method for Composite Regularization Wenliang Zhong, James Tin-Yau Kwok

ICML 2012 Convex Multitask Learning with Flexible Task Clusters Wenliang Zhong, James Tin-Yau Kwok

CVPR 2009 Unsupervised Maximum Margin Feature Selection with Manifold Regularization Bin Zhao, James Tin-Yau Kwok, Fei Wang, Changshui Zhang

AISTATS 2001 Bayesian Support Vector Regression Martin H. C. Law, James Tin-Yau Kwok