| 2019 | PRICAI | Optimizing DNN Architectures for High Speed Autonomous Navigation in GPS Denied Environments on Edge Devices. | Prafull Prakash, Chaitanya Murti, J. Saketha Nath, Chiranjib Bhattacharyya |
| 2018 | NAACL | Entity Resolution and Location Disambiguation in the Ancient Hindu Temples Domain using Web Data. | Ayush Maheshwari, Vishwajeet Kumar, Ganesh Ramakrishnan, J. Saketha Nath |
| 2016 | KDD | Privacy-preserving Class Ratio Estimation. | Arun Shankar Iyer, J. Saketha Nath, Sunita Sarawagi |
| 2014 | ICML | Maximum Mean Discrepancy for Class Ratio Estimation: Convergence Bounds and Kernel Selection. | Arun Shankar Iyer, J. Saketha Nath, Sunita Sarawagi |
| 2014 | ICML | On p-norm Path Following in Multiple Kernel Learning for Non-linear Feature Selection. | Pratik Jawanpuria, Manik Varma, J. Saketha Nath |
| 2013 | ACL | Detecting Turnarounds in Sentiment Analysis: Thwarting. | Ankit Ramteke, Akshat Malu, Pushpak Bhattacharyya, J. Saketha Nath |
| 2012 | ICML | A Convex Feature Learning Formulation for Latent Task Structure Discovery. | Pratik Jawanpuria, J. Saketha Nath |
| 2009 | PAKDD | Interval Data Classification under Partial Information: A Chance-Constraint Approach. | Sahely Bhadra, J. Saketha Nath, Aharon Ben-Tal, Chiranjib Bhattacharyya |
| 2007 | ICML | Focused crawling with scalable ordinal regression solvers. | Rashmin Babaria, J. Saketha Nath, S. Krishnan, K. R. Sivaramakrishnan, Chiranjib Bhattacharyya, M. Narasimha Murty |
| 2007 | SDM | Maximum Margin Classifiers with Specified False Positive and False Negative Error Rates. | J. Saketha Nath, Chiranjib Bhattacharyya |
| 2006 | KDD | Clustering based large margin classification: a scalable approach using SOCP formulation. | J. Saketha Nath, Chiranjib Bhattacharyya, M. Narasimha Murty |