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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
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
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
302012
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