Publications
- Maximum Relative Margin and Data-Dependent Regularization
- Pannagadatta Shivaswamy and Tony Jebara; Journal of Machine Learning Research (under minor revision; do not distribute) 2009.
- Structured Prediction with Relative Margin
- Pannagadatta Shivaswamy and Tony Jebara; International Conference on Machine Learning and Applications, ICMLA, December 2009.
- Relative Margin Machines
- Pannagadatta Shivaswamy and Tony Jebara; In Advances in Neural Information Processing Systems (NIPS) 21, 2009. Matlab code (do write back to us if you see improvements on your applications with RMM)
- A Support Vector Approach to Censored Targets
- Pannagadatta Shivaswamy, Wei Chu and Martin Jansche; In proceedings of the International Conference on Data Mining 2007.
A more detailed technical report; code.
- Ellipsoidal Kernel Machines
- Pannagadatta Shivaswamy and Tony Jebara ; In proceedings of the eleventh International Conference on Artificial Intelligence and Statistics 2007.
An addendum on Kernelized MVE.
- Permutation Invariant SVMs
- Pannagadatta Shivaswamy and Tony Jebara ; In proceedings of the twenty third International Conference on Machine Learning 2006.
- Second Order Cone Programming approaches for handling Missing and Uncertain Data
- Pannagadatta Shivaswamy, Chiranjib Bhattacharyya , Alex Smola; Journal of Machine Learning Research 7 (Special Topic on Machine Learning and Optimization) 1283--1314, 2006.
- A Second Order Cone Programming Formulation for Classifying Missing Data
- Chiranjib Bhattacharyya, Pannagadatta Shivaswamy and Alex Smola; In Advances in Neural Information Processing Systems (NIPS) 17 2005.
- Pannagadatta Shivaswamy and Tony Jebara; Journal of Machine Learning Research (under minor revision; do not distribute) 2009.