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J. Saketha Nath
J. Saketha Nath
Associate Professor, Dept. of CSE, IIT Hyderabad.
Verified email at iith.ac.in - Homepage
Title
Cited by
Cited by
Year
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
932014
Chance constrained uncertain classification via robust optimization
A Ben-Tal, S Bhadra, C Bhattacharyya, J Saketha Nath
Mathematical programming 127, 145-173, 2011
792011
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
652007
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
632009
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
602011
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
342014
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
312012
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
302013
An efficient clustering scheme using support vector methods
JS Nath, SK Shevade
Pattern Recognition 39 (8), 1473-1480, 2006
282006
Generalized hierarchical kernel learning.
P Jawanpuria, JS Nath, G Ramakrishnan
J. Mach. Learn. Res. 16, 617-652, 2015
272015
Efficient rule ensemble learning using hierarchical kernels
P Jawanpuria, SN Jagarlapudi, G Ramakrishnan
Proceedings of the 28th international conference on machine learning (ICML …, 2011
252011
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
242006
Multi-task Multiple Kernel Learning
P Jawanpuria, SN Jagarlapudi
SIAM International Conference on Data Mining, 828-838, 2011
232011
Statistical optimal transport posed as learning kernel embedding
SN Jagarlapudi, PK Jawanpuria
Advances in Neural Information Processing Systems 33, 17334-17345, 2020
192020
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
172021
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
172009
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
162007
Privacy-preserving class ratio estimation
AS Iyer, JS Nath, S Sarawagi
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016
112016
Maximum margin classifiers with specified false positive and false negative error rates
J Saketha Nath, C Bhattacharyya
112007
Multiple kernel learning
JS Nath
112004
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Articles 1–20