S. Sundararajan

29 papers A* 3A 4B 1Journal 14Unranked 7

Year	Rank	Type	Title / Venue / Authors
2018	J	`jnl`	Distributed Newton Methods for Deep Neural Networks. CoRR Chien-Chih Wang, Kent Loong Tan, Chun-Ting Chen, Yu-Hsiang Lin, S. Sathiya Keerthi, Dhruv Mahajan, S. Sundararajan, Chih-Jen Lin
2018	J	`jnl`	Distributed Newton Methods for Deep Neural Networks. Neural Comput. Chien-Chih Wang, Kent Loong Tan, Chun-Ting Chen, Yu-Hsiang Lin, S. Sathiya Keerthi, Dhruv Mahajan, S. Sundararajan, Chih-Jen Lin
2018	—	`conf`	VC Dimension Based Fuzzy Sigmoid Neural Network (VC-FSNN). IEEE Conf. on Intelligent Systems Linu Pinto, Sasi Gopalan, S. Sundararajan
2017	A	`conf`	A Sparse Nonlinear Classifier Design Using AUC Optimization. SDM Vishal Kakkar, Shirish K. Shevade, S. Sundararajan, Dinesh Garg
2017	J	`jnl`	A distributed block coordinate descent method for training l1 regularized linear classifiers. J. Mach. Learn. Res. Dhruv Mahajan, S. Sathiya Keerthi, S. Sundararajan
2016	J	`jnl`	A Sparse Nonlinear Classifier Design Using AUC Optimization. CoRR Vishal Kakkar, Shirish K. Shevade, S. Sundararajan, Dinesh Garg
2015	J	`jnl`	A Simple Label Switching Algorithm for Semisupervised Structural SVMs. Neural Comput. P. Balamurugan, Shirish K. Shevade, S. Sundararajan
2015	—	`conf`	Near Real-Time Service Monitoring Using High-Dimensional Time Series. ICDM Workshops Shwetabh Khanduja, Vinod Nair, S. Sundararajan, Ameya Raul, Ajesh Babu Shaj, S. Sathiya Keerthi
2014	J	`jnl`	A Distributed Algorithm for Training Nonlinear Kernel Machines. CoRR Dhruv Mahajan, S. Sathiya Keerthi, S. Sundararajan
2014	J	`jnl`	A distributed block coordinate descent method for training $l_1$ regularized linear classifiers. CoRR Dhruv Mahajan, S. Sathiya Keerthi, S. Sundararajan
2013	J	`jnl`	A Functional Approximation Based Distributed Learning Algorithm. CoRR Dhruv Mahajan, S. Sathiya Keerthi, S. Sundararajan, Léon Bottou
2013	J	`jnl`	A Parallel SGD method with Strong Convergence. CoRR Dhruv Mahajan, S. Sathiya Keerthi, S. Sundararajan, Léon Bottou
2013	J	`jnl`	An Empirical Evaluation of Sequence-Tagging Trainers. CoRR P. Balamurugan, Shirish K. Shevade, S. Sundararajan, S. Sathiya Keerthi
2013	—	`conf`	Semi-supervised Gaussian Process Ordinal Regression. ECML/PKDD (3) P. K. Srijith, Shirish K. Shevade, S. Sundararajan
2013	—	`conf`	Tractable Semi-supervised Learning of Complex Structured Prediction Models. ECML/PKDD (3) Kai-Wei Chang, S. Sundararajan, S. Sathiya Keerthi
2012	—	`conf`	A Probabilistic Least Squares Approach to Ordinal Regression. Australasian Conference on Artificial Intelligence P. K. Srijith, Shirish K. Shevade, S. Sundararajan
2012	J	`jnl`	Mechanism Design for Cost Optimal PAC Learning in the Presence of Strategic Noisy Annotators CoRR Dinesh Garg, Sourangshu Bhattacharya, S. Sundararajan, Shirish K. Shevade
2012	A	`conf`	Mechanism Design for Cost Optimal PAC Learning in the Presence of Strategic Noisy Annotators. UAI Dinesh Garg, Sourangshu Bhattacharya, S. Sundararajan, Shirish K. Shevade
2012	—	`conf`	Validation Based Sparse Gaussian Processes for Ordinal Regression. ICONIP (2) P. K. Srijith, Shirish K. Shevade, S. Sundararajan
2011	A	`conf`	A Sequential Dual Method for Structural SVMs. SDM Shirish K. Shevade, P. Balamurugan, S. Sundararajan, S. Sathiya Keerthi
2009	A	`conf`	Active learning in partially supervised classification. CIKM Priyanka Garg, S. Sundararajan
2009	A*	`conf`	Semi-Supervised Classification Using Sparse Gaussian Process Regression. IJCAI Amrish Patel, S. Sundararajan, Shirish K. Shevade
2009	J	`jnl`	Validation-Based Sparse Gaussian Process Classifier Design. Neural Comput. Shirish K. Shevade, S. Sundararajan
2008	A*	`conf`	A dual coordinate descent method for large-scale linear SVM. ICML Cho-Jui Hsieh, Kai-Wei Chang, Chih-Jen Lin, S. Sathiya Keerthi, S. Sundararajan
2008	A*	`conf`	A sequential dual method for large scale multi-class linear svms. KDD S. Sathiya Keerthi, S. Sundararajan, Kai-Wei Chang, Cho-Jui Hsieh, Chih-Jen Lin
2007	J	`jnl`	Fast Generalized Cross-Validation Algorithm for Sparse Model Learning. Neural Comput. S. Sundararajan, Shirish K. Shevade, S. Sathiya Keerthi
2004	B	`conf`	Predictive Approaches for Sparse Model Learning. ICONIP Shirish K. Shevade, S. Sundararajan, S. Sathiya Keerthi
2001	J	`jnl`	Predictive Approaches for Choosing Hyperparameters in Gaussian Processes. Neural Comput. S. Sundararajan, S. Sathiya Keerthi
1999	—	`conf`	Predictive App roaches for Choosing Hyperparameters in Gaussian Processes. NIPS S. Sundararajan, S. Sathiya Keerthi