| Improvements to Platt's SMO algorithm for SVM classifier design SS Keerthi, SK Shevade, C Bhattacharyya, KRK Murthy Neural computation 13 (3), 637-649, 2001 | 2488 | 2001 |
| Improvements to the SMO algorithm for SVM regression SK Shevade, SS Keerthi, C Bhattacharyya, KRK Murthy IEEE transactions on neural networks 11 (5), 1188-1193, 2000 | 1266 | 2000 |
| A robust minimax approach to classification GRG Lanckriet, LE Ghaoui, C Bhattacharyya, MI Jordan Journal of Machine Learning Research 3 (Dec), 555-582, 2002 | 629 | 2002 |
| A fast iterative nearest point algorithm for support vector machine classifier design SS Keerthi, SK Shevade, C Bhattacharyya, KRK Murthy IEEE transactions on neural networks 11 (1), 124-136, 2000 | 554 | 2000 |
| Reside: Improving distantly-supervised neural relation extraction using side information S Vashishth, R Joshi, SS Prayaga, C Bhattacharyya, P Talukdar arXiv preprint arXiv:1812.04361, 2018 | 288 | 2018 |
| 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 | 284 | 2006 |
| Minimax probability machine G Lanckriet, L Ghaoui, C Bhattacharyya, M Jordan Advances in neural information processing systems 14, 2001 | 188 | 2001 |
| Structured learning for non-smooth ranking losses CB Soumen Chakrabarti,Rajiv Khanna, Uma Sawant KDD, 88-96, 2008 | 154* | 2008 |
| Exploiting coherence for the simultaneous discovery of latent facets and associated sentiments H Lakkaraju, C Bhattacharyya, I Bhattacharya, S Merugu Proceedings of the 2011 SIAM international conference on data mining, 498-509, 2011 | 136 | 2011 |
| Incorporating syntactic and semantic information in word embeddings using graph convolutional networks S Vashishth, M Bhandari, P Yadav, P Rai, C Bhattacharyya, P Talukdar arXiv preprint arXiv:1809.04283, 2018 | 120 | 2018 |
| Fréchet distance based approach for searching online handwritten documents E Sriraghavendra, K Karthik, C Bhattacharyya Ninth international conference on document analysis and recognition (ICDAR …, 2007 | 104 | 2007 |
| A second order cone programming formulation for classifying missing data C Bhattacharyya, P Shivaswamy, A Smola Advances in neural information processing systems 17, 2004 | 94 | 2004 |
| Content driven user profiling for comment-worthy recommendations of news and blog articles T Bansal, M Das, C Bhattacharyya Proceedings of the 9th ACM Conference on Recommender Systems, 195-202, 2015 | 90 | 2015 |
| Simultaneous classification and relevant feature identification in high-dimensional spaces: application to molecular profiling data C Bhattacharyya, LR Grate, A Rizki, D Radisky, FJ Molina, MI Jordan, ... Signal Processing 83 (4), 729-743, 2003 | 83 | 2003 |
| Chance constrained uncertain classification via robust optimization A Ben-Tal, S Bhadra, C Bhattacharyya, J Saketha Nath Mathematical programming 127, 145-173, 2011 | 76 | 2011 |
| Global graph kernels using geometric embeddings F Johansson, V Jethava, D Dubhashi, C Bhattacharyya International Conference on Machine Learning, 694-702, 2014 | 71 | 2014 |
| Word2Sense: Sparse interpretable word embeddings A Panigrahi, HV Simhadri, C Bhattacharyya Proceedings of the 57th annual meeting of the Association for Computational …, 2019 | 69 | 2019 |
| Maximum margin classifiers with specified false positive and false negative error rates JS Nath, C Bhattacharyya Proceedings of the 2007 SIAM International Conference on Data Mining, 35-46, 2007 | 64 | 2007 |
| On the algorithmics and applications of a mixed-norm based kernel learning formulation S Jagarlapudi, C Bhattacharyya, A Ben-tal, R Kr Advances in neural information processing systems 22, 2009 | 63 | 2009 |
| Variable sparsity kernel learning J Aflalo, A Ben-Tal, C Bhattacharyya, JS Nath, S Raman Journal of Machine Learning Research 12 (2), 565-592, 2011 | 60 | 2011 |
