Search Machine Learning Repository:
All publications by S. S. Keerthi
authors venues years



Deterministic Annealing for Semi-Supervised Structured Output Learning
Paramveer S. Dhillon, S. S. Keerthi, Kedar Bellare, Olivier Chapelle and Sundararajan Sellamanickam
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Trust Region Newton Method for Logistic Regression
Chih-jen Lin, Ruby C. Weng and S. S. Keerthi
Journal of Machine Learning Research, 2008


A dual coordinate descent method for large-scale linear SVM
Cho-jui Hsieh, Kai-wei Chang, Chih-jen Lin, S. S. Keerthi and S. Sundararajan
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Optimization Techniques for Semi-Supervised Support Vector Machines
Olivier Chapelle, Vikas Sindhwani and S. S. Keerthi
Journal of Machine Learning Research, 2008


Trust region Newton methods for large-scale logistic regression
Chih-jen Lin, Ruby C. Weng and S. S. Keerthi
Proceedings of the 24th International Conference on Machine Learning (ICML-07), 2007


Deterministic annealing for semi-supervised kernel machines
Vikas Sindhwani, S. S. Keerthi and Olivier Chapelle
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Relational Learning with Gaussian Processes
Wei Chu, Vikas Sindhwani, Zoubin Ghahramani and S. S. Keerthi
Advances in Neural Information Processing Systems 19, 2006


An Efficient Method for Gradient-Based Adaptation of Hyperparameters in SVM Models
S. S. Keerthi, Vikas Sindhwani and Olivier Chapelle
Advances in Neural Information Processing Systems 19, 2006


Branch and Bound for Semi-Supervised Support Vector Machines
Olivier Chapelle, Vikas Sindhwani and S. S. Keerthi
Advances in Neural Information Processing Systems 19, 2006


Building Support Vector Machines with Reduced Classifier Complexity
S. S. Keerthi, Olivier Chapelle and Dennis Decoste
Journal of Machine Learning Research, 2006


Generalized LARS as an effective feature selection tool for text classification with SVMs
S. S. Keerthi
Proceedings of the 22nd International Conference on Machine Learning (ICML-05), 2005


New approaches to support vector ordinal regression
Wei Chu and S. S. Keerthi
Proceedings of the 22nd International Conference on Machine Learning (ICML-05), 2005


A Modified Finite Newton Method for Fast Solution of Large Scale Linear SVMs
S. S. Keerthi and Dennis Decoste
Journal of Machine Learning Research, 2005