J. Saketha Nath

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Chiranjib BhattacharyyaProfessor, Indian Institute of ScienceVerified email at csa.iisc.ernet.in
Pratik JawanpuriaPrincipal applied scientist, Microsoft IndiaVerified email at microsoft.com
a ben talprofessor of operations research, Technion, israel Institute of technologyVerified email at ie.technion.ac.il
Ganesh RamakrishnanProfessor, Department of Computer Science and Engineering, Indian Institute of Technology BombayVerified email at cse.iitb.ac.in
Sunita SarawagiIndian Institute of Technology Bombay, Mumbai, India.Verified email at iitb.ac.in
Arun IyerMicrosoft Research IndiaVerified email at microsoft.com
Sahely BhadraAssistant Professor, Computer Science and Engineering, Indian Institute of Technology Palakkad.Verified email at iitpkd.ac.in
Narasimha Murty M/ M. N. Murty/M. N....honorary professor, computer science and automation, indian institute of scienceVerified email at iisc.ac.in
K. R. RamakrishnanIndian Institute of ScienceVerified email at ee.iisc.ernet.in
Yonathan AflaloSenior Applied Scientist @ AmazonVerified email at amazon.com
Ayush MaheshwariSr. Solutions Architect, NvidiaVerified email at nvidia.com
Manik VarmaDistinguished Scientist and Vice President, Microsoft Research IndiaVerified email at microsoft.com
Dr. Pushpak BhattacharyyaProfessor of Computer Science and Engineering, IIT BombayVerified email at cse.iitb.ac.in
Shirish ShevadeIndian Institute of ScienceVerified email at csa.iisc.ernet.in
Dinesh GovindarajSenior Staff ML Scientist, PinterestVerified email at pinterest.com

J. Saketha Nath

Associate Professor, Dept. of CSE, IIT Hyderabad.

Verified email at iith.ac.in - Homepage

Machine Learning


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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	93	2014
Chance constrained uncertain classification via robust optimization A Ben-Tal, S Bhadra, C Bhattacharyya, J Saketha Nath Mathematical programming 127, 145-173, 2011	79	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	65	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	30	2012
An efficient clustering scheme using support vector methods JS Nath, SK Shevade Pattern Recognition 39 (8), 1473-1480, 2006	28	2006
Generalized hierarchical kernel learning. P Jawanpuria, JS Nath, G Ramakrishnan J. Mach. Learn. Res. 16, 617-652, 2015	27	2015
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	19	2020
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	17	2021
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	17	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
Privacy-preserving class ratio estimation AS Iyer, JS Nath, S Sarawagi Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016	11	2016
Maximum margin classifiers with specified false positive and false negative error rates J Saketha Nath, C Bhattacharyya	11	2007
Multiple kernel learning JS Nath	11	2004

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