Sathiya Keerthi Selvaraj

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Co-authors

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）InfVerified email at gatsby.ucl.ac.uk
Chih-Jen LinDistinguished professor, National Taiwan University and affiliated professor, MBZUAIVerified email at csie.ntu.edu.tw
Olivier ChapelleGoogleVerified email at chapelle.cc
Chiranjib BhattacharyyaProfessor, Indian Institute of ScienceVerified email at csa.iisc.ernet.in
Radha Krishna Murthy KaruturiDirector of Research Data & Analytics, Center for Health Systems Research, Sutter HealthVerified email at sutterhealth.org
Vikas SindhwaniGoogle DeepMind RoboticsVerified 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
Balaraman RavindranProfessor of Computer Science, Indian Institute of Technology MadrasVerified email at cse.iitm.ac.in
Johannes GehrkeMicrosoftVerified email at microsoft.com
Ruby Chiu-Hsing WengProfessor of Statistics, National Chengchi UniversityVerified email at nccu.edu.tw
Pranjul YadavMachine Learning, GoogleVerified email at google.com
Khoa D DoanVinUniversityVerified email at vinuni.edu.vn
Heow Pueh LeeMechanical Engineering, National University of SingaporeVerified email at nus.edu.sg
Magdalena BalazinskaUniversity 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


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	2516	2001
Asymptotic behaviors of support vector machines with Gaussian kernel SS Keerthi, CJ Lin Neural computation 15 (7), 1667-1689, 2003	2397	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	1977	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	1275	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	1211	2008
Optimal infinite-horizon feedback laws for a general class of constrained discrete-time systems: Stability and moving-horizon approximations SS Keerthi, EG Gilbert Journal of optimization theory and applications 57, 265-293, 1988	1117	1988
Which is the best multiclass SVM method? An empirical study KB Duan, SS Keerthi International workshop on multiple classifier systems, 278-285, 2005	931	2005
Evaluation of simple performance measures for tuning SVM hyperparameters K Duan, SS Keerthi, AN Poo Neurocomputing 51, 41-59, 2003	921	2003
Trust region Newton method for large-scale logistic regression. CJ Lin, RC Weng, SS Keerthi Journal of Machine Learning Research 9 (4), 2008	735	2008
Optimization techniques for semi-supervised support vector machines. O Chapelle, V Sindhwani, SS Keerthi Journal of Machine Learning Research 9 (2), 2008	586	2008
A simple and efficient algorithm for gene selection using sparse logistic regression SK Shevade, SS Keerthi Bioinformatics 19 (17), 2246-2253, 2003	582	2003
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	558	2000
Convergence of a generalized SMO algorithm for SVM classifier design SS Keerthi, EG Gilbert Machine Learning 46, 351-360, 2002	483	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	447	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	414	2005
New approaches to support vector ordinal regression W Chu, SS Keerthi Proceedings of the 22nd international conference on Machine learning, 145-152, 2005	397	2005
Support vector ordinal regression W Chu, SS Keerthi Neural computation 19 (3), 792-815, 2007	388	2007
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	378	2006
Efficient algorithms for ranking with SVMs O Chapelle, SS Keerthi Information retrieval 13, 201-215, 2010	341	2010
Computation of minimum-time feedback control laws for discrete-time systems with state-control constraints S Keerthi, E Gilbert IEEE Transactions on Automatic Control 32 (5), 432-435, 1987	331	1987

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