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Conference Proceedings

Srijith, PK and Shevade, Shirish and Sundararajan, S (2012) Probabilistic least squares approach to ordinal regression. In: Proceedings of the 25th Australasian Joint Conference, December 4-7, 2012, Sydney, Australia.

Conference Paper

Kakkar, Vishal and Shevade, Shirish and Sundararajan, S and Garg, Dinesh (2017) A Sparse Nonlinear Classifier Design Using AUC Optimization. In: 17th SIAM International Conference on Data Mining, SDM 2017, 27 - 29 April 2017, Houston, pp. 291-299.

Garg, Dinesh and Bhattacharya, Sourangshu and Sundararajan, S and Shevade, Shirish (2012) Mechanism design for cost optimal PAC learning in the presence of strategic noisy annotators. In: UAI 2012 : 28th Conference on Uncertainty in Artificial Intelligence, August 15-17, 2012, Catalina Island, USA.

Srijith, PK and Shevade, Shirish and Sundararajan, S (2012) Validation based sparse Gaussian processes for ordinal regression. In: ICONIP 2012 19th International Conference, November 12-15, 2012, Doha, Qatar.

Balamurugan, P and Shevade, Shirish and Sundararajan, S and Keerthi, Sathiya S (2011) A sequential dual method for structural SVMs. In: 2011 SIAM International Conference on Data Mining (SDM), April 28-30,2011, Mesa, Arizona, USA.

Patel, Amrish and Sundararajan, S and Shevade, Shirish (2010) Semi-Supervised Classification Using Sparse Gaussian Process Regression. In: 21st Internation Joint Conference on Artifical Intelligence (IJCAI-09), JUL 11-17, 2009 , Pasadena, CA, pp. 1193-1198.

Shevade, SK and Sundararajan, S and Keerthi, SS (2004) Predictive Approaches for Sparse Model Learning. In: 11th International Conference on Neural Information Processing:ICONIP 2004(Lecture Notes in Computer Science), 22-25 November , 2004, Calcutta, India, Vol.3316, 434-439.

Journal Article

Balamurugan, P and Shevade, Shirish and Sundararajan, S (2015) A Simple Label Switching Algorithm for Semisupervised Structural SVMs. In: NEURAL COMPUTATION, 27 (10). pp. 2183-2206.

Shevade, Shirish and Sundararajan, S (2009) Validation-Based Sparse Gaussian Process Classifier Design. In: Neural Computation, 21 (7). pp. 2082-2103.

Sundararajan, S and Keerthi, SS (2001) Predictive approaches for choosing hyperparameters in Gaussian processes. In: Neural Computation, 13 (5). pp. 1103-1118.

Editorials/Short Communications

Sundararajan, S and Shevade, Shirish and Keerthi, Sathiya S (2007) Fast Generalized Cross-Validation Algorithm for Sparse Model Learning. In: Neural Computation, 19 (1). pp. 283-301.