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All publications by Kai Zhang
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Covariate Shift in Hilbert Space: A Solution via Sorrogate Kernels
Kai Zhang, Vincent Zheng, Qiaojun Wang, James Kwok, Qiang Yang and Ivan Marsic
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method
Kai Zhang, Liang Lan, Jun Liu, Andreas Rauber and Fabian Moerchen
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Scaling up Kernel SVM on Limited Resources: A Low-rank Linearization Approach
Kai Zhang, Liang Lan, Zhuang Wang and Fabian Moerchen
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Prototype vector machine for large scale semi-supervised learning
Kai Zhang, James T. Kwok and Bahram Parvin
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


Improved Nystr{\&}ouml;m low-rank approximation and error analysis
Kai Zhang, Ivor W. Tsang and James T. Kwok
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Maximum margin clustering made practical
Kai Zhang, Ivor W. Tsang and James T. Kwok
Proceedings of the 24th International Conference on Machine Learning (ICML-07), 2007


Block-quantized kernel matrix for fast spectral embedding
Kai Zhang and James T. Kwok
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Simplifying Mixture Models through Function Approximation
Kai Zhang and James T. Kwok
Advances in Neural Information Processing Systems 19, 2006