Maximum mean discrepancy for class ratio estimation: Convergence bounds and kernel selection A Iyer, S Nath, S Sarawagi International conference on machine learning, 530-538, 2014 | 91 | 2014 |
Chance constrained uncertain classification via robust optimization A Ben-Tal, S Bhadra, C Bhattacharyya, J Saketha Nath Mathematical programming 127, 145-173, 2011 | 77 | 2011 |
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 |
On p-norm path following in multiple kernel learning for non-linear feature selection P Jawanpuria, M Varma, S Nath International conference on machine learning, 118-126, 2014 | 34 | 2014 |
Detecting turnarounds in sentiment analysis: Thwarting A Ramteke, A Malu, P Bhattacharyya, JS Nath Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013 | 30 | 2013 |
A Convex Feature Learning Formulation for Latent Task Structure Discovery P Jawanpuria, SN Jagarlapudi 29th International Conference on Machine Learning (ICML-12), 137-144, 2012 | 29 | 2012 |
Generalized hierarchical kernel learning. P Jawanpuria, JS Nath, G Ramakrishnan J. Mach. Learn. Res. 16, 617-652, 2015 | 27 | 2015 |
An efficient clustering scheme using support vector methods JS Nath, SK Shevade Pattern Recognition 39 (8), 1473-1480, 2006 | 26 | 2006 |
Efficient rule ensemble learning using hierarchical kernels P Jawanpuria, SN Jagarlapudi, G Ramakrishnan Proceedings of the 28th international conference on machine learning (ICML …, 2011 | 25 | 2011 |
Clustering based large margin classification: a scalable approach using socp formulation JS Nath, C Bhattacharyya, MN Murty Proceedings of the 12th ACM SIGKDD international conference on knowledge …, 2006 | 24 | 2006 |
Multi-task Multiple Kernel Learning P Jawanpuria, SN Jagarlapudi SIAM International Conference on Data Mining, 828-838, 2011 | 23 | 2011 |
Statistical optimal transport posed as learning kernel embedding SN Jagarlapudi, PK Jawanpuria Advances in Neural Information Processing Systems 33, 17334-17345, 2020 | 18 | 2020 |
Interval data classification under partial information: A chance-constraint approach S Bhadra, JS Nath, A Ben-Tal, C Bhattacharyya Pacific-Asia Conference on Knowledge Discovery and Data Mining, 208-219, 2009 | 16 | 2009 |
Focused crawling with scalable ordinal regression solvers R Babaria, SN Jagarlapudi, K S, S KR, C Bhattacharyya, MN Murty Proceedings of the 24th International conference on Machine learning, 57-64, 2007 | 16 | 2007 |
Joint learning of hyperbolic label embeddings for hierarchical multi-label classification S Chatterjee, A Maheshwari, G Ramakrishnan, SN Jagaralpudi arXiv preprint arXiv:2101.04997, 2021 | 15 | 2021 |
Privacy-preserving class ratio estimation AS Iyer, JS Nath, S Sarawagi Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016 | 11 | 2016 |
Multiple kernel learning JS Nath | 11 | 2004 |
Unbalanced optimal transport using integral probability metric regularization JS Nath arXiv preprint arXiv:2011.05001, 2020 | 9* | 2020 |