Sathiya Keerthi Selvaraj

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Shirish ShevadeIndian Institute of ScienceVerified email at csa.iisc.ernet.in
Chong Jin OngAssociate Professor of Mechanical Engineering, National University of SingaporeVerified email at nus.edu.sg
Elmer GilbertProfessor of EngineeringVerified email at umich.edu
Wei Chu（褚崴）AlibabaVerified email at gatsby.ucl.ac.uk
Chiranjib BhattacharyyaProfessor, Indian Institute of ScienceVerified email at csa.iisc.ernet.in
Olivier ChapelleGoogleVerified email at chapelle.cc
Chih-Jen LinDistinguished professor, National Taiwan University and affiliated professor, MBZUAIVerified email at csie.ntu.edu.tw
Radha Krishna Murthy KaruturiDirector of Research Data & Analytics-Center for Health Systems Research, Sutter HealthVerified email at sutterhealth.org
Vikas SindhwaniRobotics at Google, New YorkVerified email at google.com
Dhruv MahajanResearch Director, Facebook AI Research (FAIR)Verified email at fb.com
Dennis DeCosteAppleVerified email at apple.com
Cho-Jui HsiehUniversity of California, Los AngelesVerified email at cs.ucla.edu
Kai-Wei ChangAssociate Professor, UCLAVerified email at kwchang.net
Johannes GehrkeMicrosoftVerified email at microsoft.com
Balaraman RavindranProfessor of Computer Science, Indian Institute of Technology MadrasVerified email at cse.iitm.ac.in
Ruby Chiu-Hsing WengProfessor of Statistics, National Chengchi UniversityVerified email at nccu.edu.tw
Pranjul YadavMachine Learning, GoogleVerified email at google.com
Heow Pueh LeeMechanical Engineering, National University of SingaporeVerified email at nus.edu.sg
Magdalena BalazinskaUniversity of WashingtonVerified email at cs.washington.edu
Jennifer OrtizUniversity of WashingtonVerified email at cs.washington.edu

Sathiya Keerthi Selvaraj

Principal Staff Scientist @ LinkedIn, Mountain View

Verified email at linkedin.com - Homepage

Optimization Machine Learning Learning with Structured Outputs Kernel Methods SVMs


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Improvements to Platt's SMO algorithm for SVM classifier design SS Keerthi, SK Shevade, C Bhattacharyya, KRK Murthy Neural computation 13 (3), 637-649, 2001	2382	2001
Asymptotic behaviors of support vector machines with Gaussian kernel SS Keerthi, CJ Lin Neural computation 15 (7), 1667-1689, 2003	2281	2003
A fast procedure for computing the distance between complex objects in three-dimensional space EG Gilbert, DW Johnson, SS Keerthi IEEE Journal on Robotics and Automation 4 (2), 193-203, 1988	1819	1988
Improvements to the SMO algorithm for SVM regression SK Shevade, SS Keerthi, C Bhattacharyya, KRK Murthy IEEE transactions on neural networks 11 (5), 1188-1193, 2000	1190	2000
A dual coordinate descent method for large-scale linear SVM CJ Hsieh, KW Chang, CJ Lin, SS Keerthi, S Sundararajan Proceedings of the 25th international conference on Machine learning, 408-415, 2008	1161	2008
Optimal infinite-horizon feedback laws for a general class of constrained discrete-time systems: Stability and moving-horizon approximations SS Keerthi, EG Gilbert Kluwer Academic Publishers-Plenum Publishers; Plenum Publishing Corporation …, 1988	1092	1988
Which is the best multiclass SVM method? An empirical study KB Duan, SS Keerthi Multiple Classifier Systems: 6th International Workshop, MCS 2005, Seaside …, 2005	861	2005
Evaluation of simple performance measures for tuning SVM hyperparameters K Duan, SS Keerthi, AN Poo Neurocomputing 51, 41-59, 2003	853	2003
Trust region newton methods for large-scale logistic regression CJ Lin, RC Weng, SS Keerthi Proceedings of the 24th international conference on Machine learning, 561-568, 2007	704	2007
A simple and efficient algorithm for gene selection using sparse logistic regression SK Shevade, SS Keerthi Bioinformatics 19 (17), 2246-2253, 2003	555	2003
Optimization techniques for semi-supervised support vector machines. O Chapelle, V Sindhwani, SS Keerthi Journal of Machine Learning Research 9 (2), 2008	551	2008
A fast iterative nearest point algorithm for support vector machine classifier design SS Keerthi, SK Shevade, C Bhattacharyya, KRK Murthy IEEE transactions on neural networks 11 (1), 124-136, 2000	550	2000
Convergence of a generalized SMO algorithm for SVM classifier design SS Keerthi, EG Gilbert Kluwer Academic Publishers; Springer Science+ Business Media, 2002	462	2002
Efficient tuning of SVM hyperparameters using radius/margin bound and iterative algorithms SS Keerthi IEEE Transactions on Neural Networks 13 (5), 1225-1229, 2002	437	2002
A modified finite Newton method for fast solution of large scale linear SVMs. SS Keerthi, D DeCoste, T Joachims Journal of Machine Learning Research 6 (3), 2005	403	2005
Building support vector machines with reduced classifier complexity. SS Keerthi, O Chapelle, D DeCoste, KP Bennett, E Parrado-Hernández Journal of Machine Learning Research 7 (7), 2006	377	2006
New approaches to support vector ordinal regression W Chu, SS Keerthi Proceedings of the 22nd international conference on Machine learning, 145-152, 2005	372	2005
Support vector ordinal regression W Chu, SS Keerthi Neural computation 19 (3), 792-815, 2007	357	2007
Efficient algorithms for ranking with SVMs O Chapelle, SS Keerthi Information retrieval 13, 201-215, 2010	330	2010
Large scale semi-supervised linear SVMs V Sindhwani, SS Keerthi Proceedings of the 29th annual international ACM SIGIR conference on …, 2006	323	2006

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