Choon Hui Teo

PhD Student
ch00nhui.te0@anu.edu.au (replace 0 with o)

Institutions:

Publications

11 C. H. Teo, S. V. N. Viswanathan, Alex J. Smola, and Q. Le.
Bundle Methods for Regularized Risk Minimization,
Journal of Machine Learning Research, submitted in February 2009.
[pdf][code]
10 Q. Le, Alex J. Smola, O. Chapelle, and C. H. Teo.
Optimization of Ranking Measures,
Journal of Machine Learning Research, submitted in January 2009.
[pdf]
9 A. J. Smola, L. Song, and C. H. Teo.
Relative Novelty Detection,
12th International Conference on Artificial Intelligence and Statistics (AISTATS'09), 2009.
[pdf]
8 A. Globerson, C. H. Teo, S. Roweis, and A. J. Smola.
An Adversarial View of Covariate Shift and A Minimax Approach,
In J. Q. Candela, M. Sugiyama, A. Schwaighofer, and N. D. Lawrence, eds, Dataset Shift in Machine Learning, MIT Press, 2009.
[link]
7 O. Chapelle, C. B. Do, Q. Le, A. J. Smola, and C. H. Teo.
Tighter Bounds for Structured Estimation,
22nd Annual Conference on Neural Information Processing Systems (NIPS'08), 2008.
[pdf]
6 C. H. Teo, A. Globerson, S. Roweis, and A. J. Smola.
Convex Learning with Invariances,
21st Annual Conference on Neural Information Processing Systems (NIPS'07), 2007.
[pdf]
5 A. Gretton, K. Fukumizu, C. H. Teo, L. Song, B. Schoelkopf, and A. J. Smola.
A Kernel Statistical Test of Independence,
21st Annual Conference on Neural Information Processing Systems (NIPS'07), 2007.
[pdf]
4 C. H. Teo, Q. Le, A. J. Smola, and S. V. N. Vishwanathan.
A Scalable Modular Convex Solver for Regularized Risk Minimization,
13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'07), 2007.
[pdf] [code]
3 C. H. Teo and S. V. N. Vishwanathan.
Fast and Space Efficient String Kernels using Suffix Arrays,
International Conferrence on Machine Learning (ICML'06), 2006.
[pdf] [code]
2 C. H. Teo and Y. H. Tay.
Invariant Object Recognition using Circular Pairwise Convolutional Networks,
9th Pacific Rim Intl. Conf. on Artificial Intelligence (PRICAI'06), 2006.
[pdf]
1 C. H. Teo, Y. H. Tay, and W. K. Lai.
A Novel Approach to Improve the Traning Time of Convolutional Networks for Object Recognition
12th Intl. Conf. on Neural Information Processing (ICONIP'05), 2005.
[pdf]

Software

  1. Suffix Arrays based String Kernel (SASK)
  2. Bundle Methods for Regularized Risks Minimization (BMRM)