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All publications by James T. Kwok
authors venues years

**Priors for Diversity in Generative Latent Variable Models**

*James T. Kwok* and *Ryan P. Adams*

Advances in Neural Information Processing Systems 25, 2012

**Mandatory Leaf Node Prediction in Hierarchical Multilabel Classification**

*Wei Bi* and *James T. Kwok*

Advances in Neural Information Processing Systems 25, 2012

**Convex Multitask Learning with Flexible Task Clusters**

*Wenliang Zhong* and *James T. Kwok*

Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

**Efficient Sparse Modeling with Automatic Feature Grouping**

*Wenliang Zhong* and *James T. Kwok*

Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011

**Multi-Label Classification on Tree- and DAG-Structured Hierarchies **

*Wei Bi* and *James T. Kwok*

Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011

**Making Large-Scale Nystr{\"o}m Approximation Possible**

*Mu Li*, *James T. Kwok* and *Bao-liang Lu*

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

**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

**Semi-supervised learning using label mean**

*Yu-feng Li*, *James T. Kwok* and *Zhi-hua Zhou*

Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009

**Accelerated Gradient Methods for Stochastic Optimization and Online Learning**

*Chonghai Hu*, *Weike Pan* and *James T. Kwok*

Advances in Neural Information Processing Systems 22, 2009

**Tighter and Convex Maximum Margin Clustering**

*Yu-feng Li*, *Ivor W. Tsang*, *James T. Kwok* and *Zhi-hua Zhou*

Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-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

**Simpler core vector machines with enclosing balls**

*Ivor W. Tsang*, *AndrĂ¡s Kocsor* 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

**Locally adaptive classification piloted by uncertainty**

*Juan Dai*, *Shuicheng Yan*, *Xiaoou Tang* and *James T. Kwok*

Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006

**A regularization framework for multiple-instance learning**

*Pak-ming Cheung* 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

**Large-Scale Sparsified Manifold Regularization**

*Ivor W. Tsang* and *James T. Kwok*

Advances in Neural Information Processing Systems 19, 2006

**Core Vector Regression for very large regression problems**

*Ivor W. Tsang*, *James T. Kwok* and *Kimo T. Lai*

Proceedings of the 22nd International Conference on Machine Learning (ICML-05), 2005

**Core Vector Machines: Fast SVM Training on Very Large Data Sets**

*Ivor W. Tsang*, *James T. Kwok* and *Pak-ming Cheung*

Journal of Machine Learning Research, 2005

**Bayesian inference for transductive learning of kernel matrix using the Tanner-Wong data augmentation algorithm**

*Zhihua Zhang*, *Dit-yan Yeung* and *James T. Kwok*

Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004

**Surrogate maximization/minimization algorithms for AdaBoost and the logistic regression model**

*Zhihua Zhang*, *James T. Kwok* and *Dit-yan Yeung*

Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004

**The Pre-Image Problem in Kernel Methods**

*James T. Kwok* and *Ivor W. Tsang*

Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003

**Learning with Idealized Kernels**

*James T. Kwok* and *Ivor W. Tsang*

Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003

** Eigenvoice Speaker Adaptation via Composite Kernel PCA**

*James T. Kwok*, *Brian Mak* and *Simon Ho*

Advances in Neural Information Processing Systems 16, 2003