Publications by Zhang, Xinhua
In Conference (refereed)
1. | H. Cheng, Y. Yu, X. Zhang, E. Xing, D. Schuurmans. "Scalable and sound low rank tensor learning". Artificial Intelligence and Statistics, (ed: Arthur Gretton, Christian C. Robert), pp 1114-1123, May 2016. |
2. | O. Aslan, X. Zhang, D. Schuurmans. "Convex Deep Learning via Normalized Kernels". Neural Information Processing Systems (NIPS), (ed: Zoubin Ghahramani, Max Welling, Corinna Cortes, Neil D. Lawrence, Kilian Q. Weinberger), pp 3275-3283, December 2015. |
3. | Ã. Aslan, H. Cheng, X. Zhang, D. Schuurmans. "Convex Two-Layer Modeling". Neural Information Processing Systems (NIPS), (ed: C. J. C. Burges, L. Bottou, M. Welling, Z. Ghahraman, K. Q. Weinberger), pp 2985-2993, December 2013. |
4. | X. Zhang, Y. Yu, D. Schuurmans. "Polar Operators for Structured Sparse Estimation". Neural Information Processing Systems (NIPS), (ed: C. J. C. Burges, L. Bottou, M. Welling, Z. Ghahramani, K. Q. Weinberger), pp 82-90, December 2013. |
5. | H. Cheng, X. Zhang, D. Schuurmans. "Convex Relaxations of Bregman Divergence Clustering". Conference on Uncertainty in Artificial Intelligence (UAI), pp 162-171, August 2013. |
6. | Y. Shi, X. Zhang, X. Liao, G. Lin, D. Schuurmans. "Protein-chemical interaction prediction via a kernelized sparse learning SVM". Pacific Symposium on Biocomputing, (ed: Russ B. Altman, A. Keith Dunker, Lawrence Hunter, Tiffany Murray, Teri E. Klein), pp 41-52, January 2013. |
7. | M. White, Y. Yu, X. Zhang, D. Schuurmans. "Convex Multi-view Subspace Learning". NIPS Workshop on Machine Learning and Games, (ed: Peter L. Bartlett, Fernando C. N. Pereira, Christopher J. C. Burges, Leon Bottou, Kilian Q. Weinberger), pp 1682-1690, December 2012. |