| A dual coordinate descent method for large-scale linear SVM CJ Hsieh, KW Chang, CJ Lin, SS Keerthi, S Sundararajan Proceedings of the 25th international conference on Machine learning, 408-415, 2008 | 1160 | 2008 |
| A sequential dual method for large scale multi-class linear SVMs SS Keerthi, S Sundararajan, KW Chang, CJ Hsieh, CJ Lin Proceeding of the 14th ACM SIGKDD international conference on Knowledge …, 2008 | 175 | 2008 |
| Predictive approaches for choosing hyperparameters in Gaussian processes S Sundararajan, SS Keerthi Neural Computation 13 (5), 1103-1118, 2001 | 172 | 2001 |
| Learning hierarchical similarity metrics N Verma, D Mahajan, S Sellamanickam, V Nair 2012 IEEE conference on computer vision and pattern recognition, 2280-2287, 2012 | 142 | 2012 |
| A joint learning framework for attribute models and object descriptions D Mahajan, S Sellamanickam, V Nair 2011 International Conference on Computer Vision, 1227-1234, 2011 | 100 | 2011 |
| Method for efficiently building compact models for large multi-class text classification SK Selvaraj, D Pavlov, SJ Gaffney, NE Mayoraz, P Berkhin, V Krishnan, ... US Patent App. 12/115,486, 2009 | 81 | 2009 |
| Lateral movement detection RSS Kumar, NSK Vu, M DiPlacido, V Nair, A Das, M Swann, K Selvaraj, ... US Patent 9,591,006, 2017 | 57 | 2017 |
| Hetegcn: heterogeneous graph convolutional networks for text classification R Ragesh, S Sellamanickam, A Iyer, R Bairi, V Lingam Proceedings of the 14th ACM international conference on web search and data …, 2021 | 49 | 2021 |
| Learning a hierarchical monitoring system for detecting and diagnosing service issues V Nair, A Raul, S Khanduja, V Bahirwani, Q Shao, S Sellamanickam, ... Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015 | 47 | 2015 |
| CRF versus SVM-struct for sequence labeling SS Keerthi, S Sundararajan Yahoo Research Technical Report, 2007 | 47 | 2007 |
| Web information extraction using markov logic networks S Satpal, S Bhadra, S Sellamanickam, R Rastogi, P Sen Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011 | 44 | 2011 |
| A distributed block coordinate descent method for training l1regularized linear classifiers D Mahajan, SS Keerthi, S Sundararajan The Journal of Machine Learning Research 18 (1), 3167-3201, 2017 | 37 | 2017 |
| A pairwise ranking based approach to learning with positive and unlabeled examples S Sellamanickam, P Garg, SK Selvaraj Proceedings of the 20th ACM international conference on Information and …, 2011 | 34 | 2011 |
| A sequential dual method for structural SVMs P Balamurugan, S Shevade, S Sundararajan, SS Keerthi Proceedings of the 2011 SIAM International Conference on Data Mining, 223-234, 2011 | 32 | 2011 |
| Large scale entity-specific resource classification SK Selvaraj, PL Bohannon, M Muralidharan, C Yu, A Machanavajjhala, ... US Patent 9,317,613, 2016 | 28 | 2016 |
| Distributed newton methods for deep neural networks CC Wang, KL Tan, CT Chen, YH Lin, SS Keerthi, D Mahajan, ... Neural computation 30 (6), 1673-1724, 2018 | 23 | 2018 |
| Towards resource-elastic machine learning S Narayanamurthy, M Weimer, D Mahajan, T Condie, S Sellamanickam, ... NIPS 2013 BigLearn Workshop 1 (2.1), 2-3, 2013 | 21 | 2013 |
| Semi-supervised gaussian process ordinal regression PK Srijith, S Shevade, S Sundararajan Machine Learning and Knowledge Discovery in Databases: European Conference …, 2013 | 19 | 2013 |
| System and method for sparse gaussian process regression using predictive measures S Sellamanickam, SK Selvaraj US Patent App. 12/001,958, 2009 | 19 | 2009 |
| A parallel SGD method with strong convergence D Mahajan, SS Keerthi, S Sundararajan, L Bottou arXiv preprint arXiv:1311.0636, 2013 | 17 | 2013 |
