S. Sundararajan

Publication Activity (10 Years)

Years Active: 1999-2018
Publications (10 Years): 8

Top Topics

Mechanism Design

Ordinal Regression

Gaussian Process

Top Venues

Publications

Chien-Chih Wang, Kent Loong Tan, Chun-Ting Chen, Yu-Hsiang Lin, S. Sathiya Keerthi, Dhruv Mahajan, S. Sundararajan, Chih-Jen Lin
Distributed Newton Methods for Deep Neural Networks. CoRR (2018)
Linu Pinto, Sasi Gopalan, S. Sundararajan
VC Dimension Based Fuzzy Sigmoid Neural Network (VC-FSNN). IEEE Conf. on Intelligent Systems (2018)
Chien-Chih Wang, Kent Loong Tan, Chun-Ting Chen, Yu-Hsiang Lin, S. Sathiya Keerthi, Dhruv Mahajan, S. Sundararajan, Chih-Jen Lin
Distributed Newton Methods for Deep Neural Networks. Neural Comput. 30 (6) (2018)
Dhruv Mahajan, S. Sathiya Keerthi, S. Sundararajan
A distributed block coordinate descent method for training l1 regularized linear classifiers. J. Mach. Learn. Res. 18 (2017)
Vishal Kakkar, Shirish K. Shevade, S. Sundararajan, Dinesh Garg
A Sparse Nonlinear Classifier Design Using AUC Optimization. SDM (2017)
Vishal Kakkar, Shirish K. Shevade, S. Sundararajan, Dinesh Garg
A Sparse Nonlinear Classifier Design Using AUC Optimization. CoRR (2016)
Balamurugan Palaniappan, Shirish K. Shevade, S. Sundararajan
A Simple Label Switching Algorithm for Semisupervised Structural SVMs. Neural Comput. 27 (10) (2015)
Shwetabh Khanduja, Vinod Nair, S. Sundararajan, Ameya Raul, Ajesh Babu Shaj, S. Sathiya Keerthi
Near Real-Time Service Monitoring Using High-Dimensional Time Series. ICDM Workshops (2015)
Dhruv Mahajan, S. Sathiya Keerthi, S. Sundararajan
A distributed block coordinate descent method for training $l_1$ regularized linear classifiers. CoRR (2014)
Dhruv Mahajan, S. Sathiya Keerthi, S. Sundararajan
A Distributed Algorithm for Training Nonlinear Kernel Machines. CoRR (2014)
P. K. Srijith, Shirish K. Shevade, S. Sundararajan
Semi-supervised Gaussian Process Ordinal Regression. ECML/PKDD (3) (2013)
Balamurugan Palaniappan, Shirish K. Shevade, S. Sundararajan, S. Sathiya Keerthi
An Empirical Evaluation of Sequence-Tagging Trainers. CoRR (2013)
Kai-Wei Chang, S. Sundararajan, S. Sathiya Keerthi
Tractable Semi-supervised Learning of Complex Structured Prediction Models. ECML/PKDD (3) (2013)
Dhruv Mahajan, S. Sathiya Keerthi, S. Sundararajan, Léon Bottou
A Parallel SGD method with Strong Convergence. CoRR (2013)
Dhruv Mahajan, S. Sathiya Keerthi, S. Sundararajan, Léon Bottou
A Functional Approximation Based Distributed Learning Algorithm. CoRR (2013)
P. K. Srijith, Shirish K. Shevade, S. Sundararajan
A Probabilistic Least Squares Approach to Ordinal Regression. Australasian Conference on Artificial Intelligence (2012)
Dinesh Garg, Sourangshu Bhattacharya, S. Sundararajan, Shirish K. Shevade
Mechanism Design for Cost Optimal PAC Learning in the Presence of Strategic Noisy Annotators CoRR (2012)
Dinesh Garg, Sourangshu Bhattacharya, S. Sundararajan, Shirish K. Shevade
Mechanism Design for Cost Optimal PAC Learning in the Presence of Strategic Noisy Annotators. UAI (2012)
P. K. Srijith, Shirish K. Shevade, S. Sundararajan
Validation Based Sparse Gaussian Processes for Ordinal Regression. ICONIP (2) (2012)
Shirish K. Shevade, Balamurugan Palaniappan, S. Sundararajan, S. Sathiya Keerthi
A Sequential Dual Method for Structural SVMs. SDM (2011)
Priyanka Garg, S. Sundararajan
Active learning in partially supervised classification. CIKM (2009)
Shirish K. Shevade, S. Sundararajan
Validation-Based Sparse Gaussian Process Classifier Design. Neural Comput. 21 (7) (2009)
Amrish Patel, S. Sundararajan, Shirish K. Shevade
Semi-Supervised Classification Using Sparse Gaussian Process Regression. IJCAI (2009)
Cho-Jui Hsieh, Kai-Wei Chang, Chih-Jen Lin, S. Sathiya Keerthi, S. Sundararajan
A dual coordinate descent method for large-scale linear SVM. ICML (2008)
S. Sathiya Keerthi, S. Sundararajan, Kai-Wei Chang, Cho-Jui Hsieh, Chih-Jen Lin
A sequential dual method for large scale multi-class linear svms. KDD (2008)
S. Sundararajan, Shirish K. Shevade, S. Sathiya Keerthi
Fast Generalized Cross-Validation Algorithm for Sparse Model Learning. Neural Comput. 19 (1) (2007)
Shirish K. Shevade, S. Sundararajan, S. Sathiya Keerthi
Predictive Approaches for Sparse Model Learning. ICONIP (2004)
S. Sundararajan, S. Sathiya Keerthi
Predictive Approaches for Choosing Hyperparameters in Gaussian Processes. Neural Comput. 13 (5) (2001)
S. Sundararajan, S. Sathiya Keerthi
Predictive App roaches for Choosing Hyperparameters in Gaussian Processes. NIPS (1999)