S. Sundararajan

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