J. Saketha Nath
J. Saketha Nath
Associate Professor, Dept. of CSE, IIT Hyderabad.
Verified email at iith.ac.in - Homepage
TitleCited byYear
On the algorithmics and applications of a mixed-norm based kernel learning formulation
SN Jagarlapudi, G Dinesh, S Raman, C Bhattacharyya, A Ben-Tal, R Kr
Advances in neural information processing systems, 844-852, 2009
Variable sparsity kernel learning
J Aflalo, A Ben-Tal, C Bhattacharyya, JS Nath, S Raman
Journal of Machine Learning Research 12 (Feb), 565-592, 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
Chance constrained uncertain classification via robust optimization
A Ben-Tal, S Bhadra, C Bhattacharyya, JS Nath
Mathematical programming 127 (1), 145-173, 2011
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
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
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
An efficient clustering scheme using support vector methods
JS Nath, SK Shevade
Pattern Recognition 39 (8), 1473-1480, 2006
Multi-task Multiple Kernel Learning
P Jawanpuria, SN Jagarlapudi
SIAM International Conference on Data Mining, 828-838, 2011
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
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
Efficient rule ensemble learning using hierarchical kernels
P Jawanpuria, JS Nath, G Ramakrishnan
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
Generalized hierarchical kernel learning
P Jawanpuria, JS Nath, G Ramakrishnan
Journal of Machine Learning Research 16 (20), 617-652, 2015
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
Privacy-preserving class ratio estimation
AS Iyer, JS Nath, S Sarawagi
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016
Robust formulations for clustering-based large-scale classification
SN Jagarlapudi, A Ben-Tal, C Bhattacharyya
Optimization and Engineering 14 (2), 225-250, 2013
Entity Resolution and Location Disambiguation in the Ancient Hindu Temples Domain using Web Data
A Maheshwari, V Kumar, G Ramakrishnan, JS Nath
Proceedings of the 2018 Conference of the North American Chapter of the …, 2018
Learning Algorithms using Chance-Constrained Programs
SN Jagarlapudi
Indian Institute of Science BANGALORE, 2007
Efficient Rule Ensemble Learning using Hierarchical Kernels
JS Nath
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