| Second order cone programming approaches for handling missing and uncertain data P Shivaswamy, C Bhattacharyya, A Smola MIT Press, 2006 | 239 | 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 | 127 | 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 | 109 | 2010 |
| A second order cone programming formulation for classifying missing data C Bhattacharyya, KS Pannagadatta, AJ Smola Neural Information Processing Systems (NIPS), 153-160, 2005 | 89 | 2005 |
| Boosted multi-task learning O Chapelle, P Shivaswamy, S Vadrevu, K Weinberger, Y Zhang, B Tseng Machine learning 85 (1), 149-173, 2011 | 84 | 2011 |
| Maximum Relative Margin and Data-Dependent Regularization. PK Shivaswamy, T Jebara Journal of Machine Learning Research 11 (2), 2010 | 76 | 2010 |
| Online learning to diversify from implicit feedback K Raman, P Shivaswamy, T Joachims Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012 | 71 | 2012 |
| Online structured prediction via coactive learning P Shivaswamy, T Joachims arXiv preprint arXiv:1205.4213, 2012 | 70 | 2012 |
| Ellipsoidal machines PK Shivaswamy, T Jebara Artificial Intelligence and Statistics, 484-491, 2007 | 68 | 2007 |
| 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 | 66 | 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 | 63 | 2012 |
| Coactive learning P Shivaswamy, T Joachims Journal of Artificial Intelligence Research 53, 1-40, 2015 | 44 | 2015 |
| 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 | 39 | 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 | 37 | 2015 |
| Multi-armed bandit problems with history P Shivaswamy, T Joachims Artificial Intelligence and Statistics, 1046-1054, 2012 | 35 | 2012 |
| Permutation invariant svms PK Shivaswamy, T Jebara Proceedings of the 23rd international conference on Machine learning, 817-824, 2006 | 35 | 2006 |
| Relative Margin Machines. PK Shivaswamy, T Jebara NIPS, 1481-1488, 2008 | 33 | 2008 |
| Structured learning of two-level dynamic rankings K Raman, T Joachims, P Shivaswamy Proceedings of the 20th ACM international conference on Information and …, 2011 | 23 | 2011 |
| Empirical bernstein boosting P Shivaswamy, T Jebara Proceedings of the Thirteenth International Conference on Artificial …, 2010 | 23 | 2010 |
| Short-term satisfaction and long-term coverage: Understanding how users tolerate algorithmic exploration T Schnabel, PN Bennett, ST Dumais, T Joachims Proceedings of the Eleventh ACM International Conference on Web Search and …, 2018 | 22 | 2018 |
