S. Sundararajan

According to our database, S. Sundararajan authored at least 26 papers between 1999 and 2018.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2018

Distributed Newton Methods for Deep Neural Networks.

Chien-Chih Wang, Kent Loong Tan, Chun-Ting Chen, Yu-Hsiang Lin, S. Sathiya Keerthi, Dhruv Mahajan, S. Sundararajan, Chih-Jen Lin

Neural Comput., 2018

VC Dimension Based Fuzzy Sigmoid Neural Network (VC-FSNN).

Linu Pinto, Sasi Gopalan, S. Sundararajan

Proceedings of the 9th IEEE International Conference on Intelligent Systems, 2018

2017

A distributed block coordinate descent method for training l1 regularized linear classifiers.

Dhruv Mahajan, S. Sathiya Keerthi, S. Sundararajan

J. Mach. Learn. Res., 2017

A Sparse Nonlinear Classifier Design Using AUC Optimization.

Vishal Kakkar, Shirish K. Shevade, S. Sundararajan, Dinesh Garg

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

2015

A Simple Label Switching Algorithm for Semisupervised Structural SVMs.

Balamurugan Palaniappan, Shirish K. Shevade, S. Sundararajan

Neural Comput., 2015

Near Real-Time Service Monitoring Using High-Dimensional Time Series.

Shwetabh Khanduja, Vinod Nair, S. Sundararajan, Ameya Raul, Ajesh Babu Shaj, S. Sathiya Keerthi

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2014

A distributed block coordinate descent method for training $l_1$ regularized linear classifiers.

Dhruv Mahajan, S. Sathiya Keerthi, S. Sundararajan

CoRR, 2014

A Distributed Algorithm for Training Nonlinear Kernel Machines.

Dhruv Mahajan, S. Sathiya Keerthi, S. Sundararajan

CoRR, 2014

2013

An Empirical Evaluation of Sequence-Tagging Trainers.

Balamurugan Palaniappan, Shirish K. Shevade, S. Sundararajan, S. Sathiya Keerthi

CoRR, 2013

A Parallel SGD method with Strong Convergence.

Dhruv Mahajan, S. Sathiya Keerthi, S. Sundararajan, Léon Bottou

CoRR, 2013

A Functional Approximation Based Distributed Learning Algorithm.

Dhruv Mahajan, S. Sathiya Keerthi, S. Sundararajan, Léon Bottou

CoRR, 2013

Semi-supervised Gaussian Process Ordinal Regression.

P. K. Srijith, Shirish K. Shevade, S. Sundararajan

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Tractable Semi-supervised Learning of Complex Structured Prediction Models.

Kai-Wei Chang, S. Sundararajan, S. Sathiya Keerthi

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

2012

Mechanism Design for Cost Optimal PAC Learning in the Presence of Strategic Noisy Annotators.

Dinesh Garg, Sourangshu Bhattacharya, S. Sundararajan, Shirish K. Shevade

Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

Validation Based Sparse Gaussian Processes for Ordinal Regression.

P. K. Srijith, Shirish K. Shevade, S. Sundararajan

Proceedings of the Neural Information Processing - 19th International Conference, 2012

A Probabilistic Least Squares Approach to Ordinal Regression.

P. K. Srijith, Shirish K. Shevade, S. Sundararajan

Proceedings of the AI 2012: Advances in Artificial Intelligence, 2012

2011

A Sequential Dual Method for Structural SVMs.

Shirish K. Shevade, Balamurugan Palaniappan, S. Sundararajan, S. Sathiya Keerthi

Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

2009

Validation-Based Sparse Gaussian Process Classifier Design.

Shirish K. Shevade, S. Sundararajan

Neural Comput., 2009

Semi-Supervised Classification Using Sparse Gaussian Process Regression.

Amrish Patel, S. Sundararajan, Shirish K. Shevade

Proceedings of the IJCAI 2009, 2009

Active learning in partially supervised classification.

Priyanka Garg, S. Sundararajan

Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008

A sequential dual method for large scale multi-class linear svms.

S. Sathiya Keerthi, S. Sundararajan, Kai-Wei Chang, Cho-Jui Hsieh, Chih-Jen Lin

Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

A dual coordinate descent method for large-scale linear SVM.

Cho-Jui Hsieh, Kai-Wei Chang, Chih-Jen Lin, S. Sathiya Keerthi, S. Sundararajan

Proceedings of the Machine Learning, 2008

2007

Fast Generalized Cross-Validation Algorithm for Sparse Model Learning.

S. Sundararajan, Shirish K. Shevade, S. Sathiya Keerthi

Neural Comput., 2007

2004

Predictive Approaches for Sparse Model Learning.

Shirish K. Shevade, S. Sundararajan, S. Sathiya Keerthi

Proceedings of the Neural Information Processing, 11th International Conference, 2004

2001

Predictive Approaches for Choosing Hyperparameters in Gaussian Processes.

S. Sundararajan, S. Sathiya Keerthi

Neural Comput., 2001

1999

Predictive App roaches for Choosing Hyperparameters in Gaussian Processes.

S. Sundararajan, S. Sathiya Keerthi

Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999