Choon Hui Teo
Senior Data ScientistEnlitic
1355 Market St, Suite 488
San Francisco, CA 94103, USA
emails: (replace 0 with o)
ch00nhui@enlitic.c0m
Publications and working papers
| 17 |
A. Ahmed, C. H. Teo, S.V.N. Vishwanathan, and A. J. Smola
Fair and Balanced: Learning to Present News Stories, 5th ACM International Conference on Web Search and Data Mining (WSDM'12), 2012. [pdf] |
| 16 |
A. Ahmed, Q. Ho, C. H. Teo, J. Eisenstein, A. J. Smola, and E. P. Xing
Online Inference for the Infinite Cluster-topic Model: Storylines from Streaming Text, 14th International Conference on Artificial Intelligence and Statistics (AISTATS'11), 2011. [pdf, supplementary material][link] |
| 15 |
A. Ahmed, Q. Ho, J. Eisenstein, E. P. Xing, A. J. Smola, and C. H. Teo
Unified Analysis of Streaming News, 20th International World Wide Web Conference (WWW'11), 2011. [pdf][link] |
| 14 |
S. Vadrevu, C. H. Teo, S. Rajan, K. Punera, B. Dom, A. J. Smola, Y. Chang, and Z. Zheng
Scalable Clustering of News Search Results, 4th ACM International Conference on Web Search and Data Mining (WSDM'11), 2011. [pdf] |
| 13 |
C. H. Teo
Bundle Methods for Regularized Risk Minimization with Applications to Robust Learning, Ph.D. thesis, The Australian National University, 2010. [pdf] |
| 12 |
C. H. Teo, S. V. N. Viswanathan, A. J. Smola, and Q. Le
Bundle Methods for Regularized Risk Minimization, Journal of Machine Learning Research (JMLR), 11(Jan):311-365, 2010. [pdf][link][code] |
11 |
A. Kolcz, and C. H. Teo
Feature Weighting for Improved Classifier Robustness, 6th Conference on Email and Anti-Spam (CEAS'09), 2009. [pdf][link] |
| 10 |
Q. Le, A. J. Smola, O. Chapelle, and C. H. Teo
Optimization of Ranking Measures, Journal of Machine Learning Research (JMLR), 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, A. J. Smola, and S. Roweis
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, Advances in Neural Information Processing Systems 21 (NIPS'08), 281-288, 2009. [pdf] |
| 6 |
C. H. Teo, A. Globerson, S. Roweis, and A. J. Smola
Convex Learning with Invariances, Advances in Neural Information Processing Systems 20 (NIPS'07), 1489-1496, 2008. [pdf] |
| 5 |
A. Gretton, K. Fukumizu, C. H. Teo, L. Song, B. Schoelkopf, and A. J. Smola
A Kernel Statistical Test of Independence, Advances in Neural Information Processing Systems 20 (NIPS'07), 585-592, 2008. [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 Conference 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] |