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All publications by Zhihua Zhang
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Support Matrix Machines
Luo Luo, Yubo Xie, Zhihua Zhang and Wu-jun Li
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Making Fisher Discriminant Analysis Scalable
Bojun Tu, Zhihua Zhang, Shusen Wang and Hui Qian
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Distributed Power-law Graph Computing: Theoretical and Empirical Analysis
Cong Xie, Ling Yan, Wu-jun Li and Zhihua Zhang
Advances in Neural Information Processing Systems 27, 2014


A Scalable CUR Matrix Decomposition Algorithm: Lower Time Complexity and Tighter Bound
Shusen Wang and Zhihua Zhang
Advances in Neural Information Processing Systems 25, 2012


Nonconvex Penalization Using Laplace Exponents and Concave Conjugates
Zhihua Zhang and Bojun Tu
Advances in Neural Information Processing Systems 25, 2012


An Autoregressive Approach to Nonparametric Hierarchical Dependent Modeling
Zhihua Zhang, Dakan Wang and Edward Y. Chang
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Bayesian Generalized Kernel Models
Zhihua Zhang, Guang Dai, Donghui Wang and Michael I. Jordan
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS-10), 2010


Matrix-Variate Dirichlet Process Mixture Models
Zhihua Zhang, Guang Dai and Michael I. Jordan
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS-10), 2010


Optimal Scoring for Unsupervised Learning
Zhihua Zhang and Guang Dai
Advances in Neural Information Processing Systems 22, 2009


Probabilistic Relational PCA
Wu-jun Li, Dit-yan Yeung and Zhihua Zhang
Advances in Neural Information Processing Systems 22, 2009


Coherence Functions for Multicategory Margin-based Classification Methods
Zhihua Zhang, Michael I. Jordan, Wu-jun Li and Dit-yan Yeung
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Latent Variable Models for Dimensionality Reduction
Zhihua Zhang and Michael I. Jordan
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Latent Wishart Processes for Relational Kernel Learning
Wu-jun Li, Zhihua Zhang and Dit-yan Yeung
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Posterior Consistency of the Silverman g-prior in Bayesian Model Choice
Zhihua Zhang, Michael I. Jordan and Dit-yan Yeung
Advances in Neural Information Processing Systems 21, 2008


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