Publications by Guo, Yuhong
In Conference (refereed)
| 1. | X. Li, Y. Guo, D. Schuurmans. "Semi-Supervised Zero-Shot Classification with Label Representation Learning". IEEE International Conference on Computer Vision (ICCV), Santiago, Chile, December 2015.   |
| 2. | F. Mirzazadeh, Y. Guo, D. Schuurmans. "Convex co-embedding". National Conference on Artificial Intelligence (AAAI), pp 1989-1996, July 2014. |
| 3. | Y. Guo, D. Schuurmans. "Multi-label Classification with Output Kernels". European Conference on Machine Learning (ECML), pp 417-432, September 2013. |
| 4. | Y. Guo, D. Schuurmans. "A reformulation of support vector machines for general confidence functions". Asian Conference on Machine Learning, November 2009. |
| 5. | Y. Guo, D. Schuurmans. "Convex relaxations of latent variable training". Neural Information Processing Systems (NIPS), December 2007. |
| 6. | Y. Guo, D. Schuurmans. "Discriminative batch mode active learning". Neural Information Processing Systems (NIPS), December 2007. |
| 7. | Y. Guo, R. Greiner. "Optimistic Active Learning using Mutual Information". International Joint Conference on Artificial Intelligence (IJCAI), Hyderabad, India, January 2007. |
| 8. | Y. Guo, D. Schuurmans. "Convex structure learning for Bayesian networks: polynomial feature selection and approximate ordering". Conference on Uncertainty in Artificial Intelligence (UAI), January 2006. |
| 9. | Y. Guo, R. Greiner, D. Schuurmans. "Learning Coordination Classifiers". International Joint Conference on Artificial Intelligence (IJCAI), Edinburgh, Scotland, August 2005. |
| 10. | Y. Guo, R. Greiner. "Discriminative Model Selection for Belief Net Structures". National Conference on Artificial Intelligence (AAAI), Pittsburgh, pp 770-776, July 2005. |
| 11. | Y. Guo, D. Wilkinson, D. Schuurmans. "Maximum Margin Bayesian Networks". Conference on Uncertainty in Artificial Intelligence (UAI), Edinburgh, Scotland, January 2005. |
In Conference (unrefereed)
| 12. | Y. Guo, D. Schuurmans. "Efficient global optimization for exponential family PCA and low-rank matrix factorization". Allerton Conference on Communication, Control, and Computing, September 2008. |
In Workshop
| 13. | Y. Guo, D. Schuurmans. "Learning Gene Regulatory Networks via Globally Regularized Risk Minimization". RECOMB Satellite Workshop on Comparative Genomics, pp 83-95, September 2007. |
Other Categories
| 14. | Y. Guo. "Learning Bayesian Networks from Data: Structure Optimization and Parameter Estimation". PhD Thesis, University of Alberta, September 2007. |
| 15. | D. Schuurmans, F. Southey, D. Wilkinson, Y. Guo. "Metric-based approaches for semisupervised". MIT Press, June 2007. |
| 16. | D. Schuurmans, F. Southey, D. Wilkinson, Y. Guo. "Metric-based approaches for semi-supervised regression and classification". Semi-Supervised Learning, MIT Press, (ed: O. Chapelle, B. Schoelkopf, A. Zein), January 2006. |
| 17. | Y. Guo, D. Schuurmans. "Support Vector Machines on General Confidence Functions". January 2005. |
