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All publications by Xinhua Zhang
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Convex Deep Learning via Normalized Kernels
Özlem Aslan, Xinhua Zhang and Dale Schuurmans
Advances in Neural Information Processing Systems 27, 2014


Robust Bayesian Max-Margin Clustering
Changyou Chen, Jun Zhu and Xinhua Zhang
Advances in Neural Information Processing Systems 27, 2014


Polar Operators for Structured Sparse Estimation
Xinhua Zhang, Yao-liang Yu and Dale Schuurmans
Advances in Neural Information Processing Systems 26, 2013


Learning with Invariance via Linear Functionals on Reproducing Kernel Hilbert Space
Xinhua Zhang, Wee S. Lee and Yee W. Teh
Advances in Neural Information Processing Systems 26, 2013


Convex Two-Layer Modeling
Özlem Aslan, Hao Cheng, Xinhua Zhang and Dale Schuurmans
Advances in Neural Information Processing Systems 26, 2013


Accelerated Training for Matrix-norm Regularization: A Boosting Approach
Xinhua Zhang, Dale Schuurmans and Yao-liang Yu
Advances in Neural Information Processing Systems 25, 2012


Convex Multi-view Subspace Learning
Martha White, Xinhua Zhang, Dale Schuurmans and Yao-liang Yu
Advances in Neural Information Processing Systems 25, 2012


Regularizers versus Losses for Nonlinear Dimensionality Reduction: A Factored View with New Convex Relaxations
James Neufeld, Ryan Kiros, Xinhua Zhang, Dale Schuurmans and Yao-liang Yu
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Lower Bounds on Rate of Convergence of Cutting Plane Methods
Xinhua Zhang, Ankan Saha and S.v.n. Vishwanathan
Advances in Neural Information Processing Systems 23, 2010


Bayesian Online Learning for Multi-label and Multi-variate Performance Measures
Xinhua Zhang, Thore Graepel and Ralf Herbrich
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS-10), 2010


Tailoring density estimation via reproducing kernel moment matching
Le Song, Xinhua Zhang, Alex J. Smola, Arthur Gretton and Bernhard Schölkopf
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Kernel Measures of Independence for non-iid Data
Xinhua Zhang, Le Song, Arthur Gretton and Alex J. Smola
Advances in Neural Information Processing Systems 21, 2008


Conditional random fields for multi-agent reinforcement learning
Xinhua Zhang, Douglas Aberdeen and S.v.n. Vishwanathan
Proceedings of the 24th International Conference on Machine Learning (ICML-07), 2007


Hyperparameter Learning for Graph Based Semi-supervised Learning Algorithms
Xinhua Zhang and Wee S. Lee
Advances in Neural Information Processing Systems 19, 2006