| Second order cone programming approaches for handling missing and uncertain data PK Shivaswamy, C Bhattacharyya, AJ Smola Journal of Machine Learning Research, 1283-1314, 2006 | 290 | 2006 |
| A support vector approach to censored targets PK Shivaswamy, W Chu, M Jansche Seventh IEEE international conference on data mining (ICDM 2007), 655-660, 2007 | 190 | 2007 |
| Multi-task learning for boosting with application to web search ranking O Chapelle, P Shivaswamy, S Vadrevu, K Weinberger, Y Zhang, B Tseng Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010 | 138 | 2010 |
| Boosted multi-task learning O Chapelle, P Shivaswamy, S Vadrevu, K Weinberger, Y Zhang, B Tseng Machine learning 85, 149-173, 2011 | 102 | 2011 |
| A second order cone programming formulation for classifying missing data C Bhattacharyya, P Shivaswamy, A Smola Advances in neural information processing systems 17, 2004 | 95 | 2004 |
| Temporal corpus summarization using submodular word coverage R Sipos, A Swaminathan, P Shivaswamy, T Joachims Proceedings of the 21st ACM international conference on Information and …, 2012 | 90 | 2012 |
| Maximum Relative Margin and Data-Dependent Regularization. PK Shivaswamy, T Jebara Journal of Machine Learning Research 11 (2), 2010 | 90 | 2010 |
| Coactive learning P Shivaswamy, T Joachims Journal of Artificial Intelligence Research 53, 1-40, 2015 | 80 | 2015 |
| Online learning to diversify from implicit feedback K Raman, P Shivaswamy, T Joachims Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012 | 77 | 2012 |
| Online structured prediction via coactive learning P Shivaswamy, T Joachims arXiv preprint arXiv:1205.4213, 2012 | 76 | 2012 |
| Large-margin learning of submodular summarization models R Sipos, P Shivaswamy, T Joachims Proceedings of the 13th Conference of the European Chapter of the …, 2012 | 76 | 2012 |
| Ellipsoidal machines PK Shivaswamy, T Jebara Artificial Intelligence and Statistics, 484-491, 2007 | 74 | 2007 |
| Activity ranking in LinkedIn feed D Agarwal, BC Chen, R Gupta, J Hartman, Q He, A Iyer, S Kolar, Y Ma, ... Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014 | 62 | 2014 |
| Personalizing linkedin feed D Agarwal, BC Chen, Q He, Z Hua, G Lebanon, Y Ma, P Shivaswamy, ... Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015 | 59 | 2015 |
| Multi-armed bandit problems with history P Shivaswamy, T Joachims Artificial Intelligence and Statistics, 1046-1054, 2012 | 57 | 2012 |
| Permutation invariant svms PK Shivaswamy, T Jebara Proceedings of the 23rd international conference on Machine learning, 817-824, 2006 | 40 | 2006 |
| Relative Margin Machines. PK Shivaswamy, T Jebara NIPS 19, 1481-1488, 2008 | 37 | 2008 |
| Empirical bernstein boosting P Shivaswamy, T Jebara Proceedings of the Thirteenth International Conference on Artificial …, 2010 | 29 | 2010 |
| Stable coactive learning via perturbation K Raman, T Joachims, P Shivaswamy, T Schnabel International conference on machine learning, 837-845, 2013 | 27 | 2013 |
| Structured learning of two-level dynamic rankings K Raman, T Joachims, P Shivaswamy Proceedings of the 20th ACM international conference on Information and …, 2011 | 27 | 2011 |
