| A kernel statistical test of independence A Gretton, K Fukumizu, C Teo, L Song, B Schölkopf, A Smola Advances in neural information processing systems 20, 2007 | 937 | 2007 |
| Bundle Methods for Regularized Risk Minimization. CH Teo, SVN Vishwanathan, A Smola, QV Le Journal of Machine Learning Research 11 (1), 2010 | 314 | 2010 |
| A scalable modular convex solver for regularized risk minimization CH Teo, A Smola, SVN Vishwanathan, QV Le Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 2007 | 216 | 2007 |
| Feature weighting for improved classifier robustness A Kolcz, CH Teo Conference Organising Committee, 2009 | 156 | 2009 |
| Convex learning with invariances CH Teo, A Globerson, S Roweis, A Smola Advances in neural information processing systems 20, 1489-1496, 2008 | 139 | 2008 |
| Unified analysis of streaming news A Ahmed, Q Ho, J Eisenstein, E Xing, AJ Smola, CH Teo Proceedings of the 20th international conference on World wide web, 267-276, 2011 | 107 | 2011 |
| Semantic product search P Nigam, Y Song, V Mohan, V Lakshman, W Ding, A Shingavi, CH Teo, ... Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 100 | 2019 |
| Tighter bounds for structured estimation O Chapelle, C Teo, Q Le, A Smola Advances in neural information processing systems 21, 2008 | 86 | 2008 |
| Relative novelty detection A Smola, L Song, CH Teo Artificial Intelligence and Statistics, 536-543, 2009 | 85 | 2009 |
| Online inference for the infinite topic-cluster model: Storylines from streaming text A Ahmed, Q Ho, CH Teo, J Eisenstein, A Smola, E Xing Proceedings of the Fourteenth International Conference on Artificial …, 2011 | 78 | 2011 |
| Adaptive, personalized diversity for visual discovery CH Teo, H Nassif, D Hill, S Srinivasan, M Goodman, V Mohan, ... Proceedings of the 10th ACM conference on recommender systems, 35-38, 2016 | 77 | 2016 |
| Fast and space efficient string kernels using suffix arrays CH Teo, SVN Vishwanathan Proceedings of the 23rd international conference on Machine learning, 929-936, 2006 | 74 | 2006 |
| Fair and balanced: Learning to present news stories A Ahmed, CH Teo, SVN Vishwanathan, A Smola Proceedings of the fifth ACM international conference on Web search and data …, 2012 | 45 | 2012 |
| Extreme multi-label learning for semantic matching in product search WC Chang, D Jiang, HF Yu, CH Teo, J Zhang, K Zhong, K Kolluri, Q Hu, ... Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 43 | 2021 |
| Scalable clustering of news search results S Vadrevu, CH Teo, S Rajan, K Punera, B Dom, AJ Smola, Y Chang, ... Proceedings of the fourth ACM international conference on Web search and …, 2011 | 35 | 2011 |
| Utilizing offline clusters for realtime clustering of search results S Vadrevu, CH Teo, S Rajan, K Punera, BE Dom, AJ Smola US Patent App. 13/099,197, 2012 | 31 | 2012 |
| kernlab: Kernel-based machine learning lab. R package version 0.9-27 A Karatzoglou, A Smola, K Hornik, MA Maniscalco, CH Teo | 30 | 2018 |
| System for creating anchors for media content JH Chow, J Ye, CH Teo US Patent App. 12/970,519, 2012 | 27 | 2012 |
| Kernel-based machine learning lab A Karatzoglou, A Smola, K Hornik, MA Maniscalco, CH Teo CRAN-Package kernlab, 2011 | 23 | 2011 |
| Optimization of ranking measures QV Le, A Smola, O Chapelle, CH Teo Journal of Machine Learning Research 1, 1-48, 2010 | 23 | 2010 |
Alex SmolaBoson AI在 smola.org 的电子邮件经过验证
