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S. Sundararajan
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2010 – 2019
- 2018
- [j6]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) - [c15]Linu Pinto, Sasi Gopalan, S. Sundararajan:
VC Dimension Based Fuzzy Sigmoid Neural Network (VC-FSNN). IEEE Conf. on Intelligent Systems 2018: 318-323 - [i8]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 abs/1802.00130 (2018) - 2017
- [j5]Dhruv Mahajan, S. Sathiya Keerthi, S. Sundararajan:
A distributed block coordinate descent method for training l1 regularized linear classifiers. J. Mach. Learn. Res. 18: 91:1-91:35 (2017) - [c14]Vishal Kakkar, Shirish K. Shevade, S. Sundararajan, Dinesh Garg:
A Sparse Nonlinear Classifier Design Using AUC Optimization. SDM 2017: 291-299 - 2016
- [i7]Vishal Kakkar, Shirish K. Shevade, S. Sundararajan, Dinesh Garg:
A Sparse Nonlinear Classifier Design Using AUC Optimization. CoRR abs/1612.08633 (2016) - 2015
- [j4]Balamurugan Palaniappan, Shirish K. Shevade, S. Sundararajan:
A Simple Label Switching Algorithm for Semisupervised Structural SVMs. Neural Comput. 27(10): 2183-2206 (2015) - [c13]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: 1624-1627 - 2014
- [i6]Dhruv Mahajan, S. Sathiya Keerthi, S. Sundararajan:
A Distributed Algorithm for Training Nonlinear Kernel Machines. CoRR abs/1405.4543 (2014) - [i5]Dhruv Mahajan, S. Sathiya Keerthi, S. Sundararajan:
A distributed block coordinate descent method for training $l_1$ regularized linear classifiers. CoRR abs/1405.4544 (2014) - 2013
- [c12]P. K. Srijith
Semi-supervised Gaussian Process Ordinal Regression. ECML/PKDD (3) 2013: 144-159 - [c11]Kai-Wei Chang, S. Sundararajan, S. Sathiya Keerthi:
Tractable Semi-supervised Learning of Complex Structured Prediction Models. ECML/PKDD (3) 2013: 176-191 - [i4]Dhruv Mahajan, S. Sathiya Keerthi, S. Sundararajan, Léon Bottou:
A Functional Approximation Based Distributed Learning Algorithm. CoRR abs/1310.8418 (2013) - [i3]Dhruv Mahajan, S. Sathiya Keerthi, S. Sundararajan, Léon Bottou:
A Parallel SGD method with Strong Convergence. CoRR abs/1311.0636 (2013) - [i2]Balamurugan Palaniappan, Shirish K. Shevade, S. Sundararajan, S. Sathiya Keerthi:
An Empirical Evaluation of Sequence-Tagging Trainers. CoRR abs/1311.2378 (2013) - 2012
- [c10]P. K. Srijith
A Probabilistic Least Squares Approach to Ordinal Regression. Australasian Conference on Artificial Intelligence 2012: 683-694 - [c9]P. K. Srijith
Validation Based Sparse Gaussian Processes for Ordinal Regression. ICONIP (2) 2012: 409-416 - [c8]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: 275-285 - [i1]Dinesh Garg, Sourangshu Bhattacharya, S. Sundararajan, Shirish K. Shevade:
Mechanism Design for Cost Optimal PAC Learning in the Presence of Strategic Noisy Annotators. CoRR abs/1210.4859 (2012) - 2011
- [c7]Shirish K. Shevade, Balamurugan Palaniappan, S. Sundararajan, S. Sathiya Keerthi:
A Sequential Dual Method for Structural SVMs. SDM 2011: 223-234
2000 – 2009
- 2009
- [j3]Shirish K. Shevade, S. Sundararajan:
Validation-Based Sparse Gaussian Process Classifier Design. Neural Comput. 21(7): 2082-2103 (2009) - [c6]Priyanka Garg, S. Sundararajan:
Active learning in partially supervised classification. CIKM 2009: 1783-1786 - [c5]Amrish Patel, S. Sundararajan, Shirish K. Shevade:
Semi-Supervised Classification Using Sparse Gaussian Process Regression. IJCAI 2009: 1193-1198 - 2008
- [c4]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: 408-415 - [c3]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: 408-416 - 2007
- [j2]S. Sundararajan, Shirish K. Shevade, S. Sathiya Keerthi:
Fast Generalized Cross-Validation Algorithm for Sparse Model Learning. Neural Comput. 19(1): 283-301 (2007) - 2004
- [c2]Shirish K. Shevade, S. Sundararajan, S. Sathiya Keerthi:
Predictive Approaches for Sparse Model Learning. ICONIP 2004: 434-439 - 2001
- [j1]S. Sundararajan, S. Sathiya Keerthi:
Predictive Approaches for Choosing Hyperparameters in Gaussian Processes. Neural Comput. 13(5): 1103-1118 (2001)
1990 – 1999
- 1999
- [c1]S. Sundararajan, S. Sathiya Keerthi:
Predictive App roaches for Choosing Hyperparameters in Gaussian Processes. NIPS 1999: 631-637
Coauthor Index
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