Clustering based large margin classification: a scalable approach using SOCP formulation. - J. Saketha Nath; Chiranjib Bhattacharyya; M. Narasimha Murty (KDD, 2006)

An efficient clustering scheme using support vector methods. - J. Saketha Nath; Shirish K. Shevade (Pattern Recognit., 2006)

Focused crawling with scalable ordinal regression solvers. - Rashmin Babaria; J. Saketha Nath; S. Krishnan; K. R. Sivaramakrishnan; Chiranjib Bhattacharyya; M. Narasimha Murty (ICML, 2007)

Maximum Margin Classifiers with Specified False Positive and False Negative Error Rates. - J. Saketha Nath; Chiranjib Bhattacharyya (SDM, 2007)

On the Algorithmics and Applications of a Mixed-norm based Kernel Learning Formulation. - Jagarlapudi Saketha Nath; G. Dinesh; Raman Sankaran; Chiranjib Bhattacharyya; Aharon Ben-Tal; K. R. Ramakrishnan (NIPS, 2009)

Interval Data Classification under Partial Information: A Chance-Constraint Approach. - Sahely Bhadra; J. Saketha Nath; Aharon Ben-Tal; Chiranjib Bhattacharyya (PAKDD, 2009)

Efficient Rule Ensemble Learning using Hierarchical Kernels. - Pratik Jawanpuria; Jagarlapudi Saketha Nath; Ganesh Ramakrishnan (ICML, 2011)

Multi-task Multiple Kernel Learning. - Pratik Jawanpuria; Jagarlapudi Saketha Nath (SDM, 2011)

Variable Sparsity Kernel Learning. - Jonathan Aflalo; Aharon Ben-Tal; Chiranjib Bhattacharyya; Jagarlapudi Saketha Nath; Raman Sankaran (J. Mach. Learn. Res., 2011)

Chance constrained uncertain classification via robust optimization. - Aharon Ben-Tal; Sahely Bhadra; Chiranjib Bhattacharyya; J. Saketha Nath (Math. Program., 2011)

A Convex Feature Learning Formulation for Latent Task Structure Discovery. - Pratik Jawanpuria; J. Saketha Nath (ICML, 2012)

Detecting Turnarounds in Sentiment Analysis: Thwarting. - Ankit Ramteke; Akshat Malu; Pushpak Bhattacharyya; J. Saketha Nath (ACL (2), 2013)

Maximum Mean Discrepancy for Class Ratio Estimation: Convergence Bounds and Kernel Selection. - Arun Shankar Iyer; J. Saketha Nath; Sunita Sarawagi (ICML, 2014)

On p-norm Path Following in Multiple Kernel Learning for Non-linear Feature Selection. - Pratik Jawanpuria; Manik Varma; J. Saketha Nath (ICML, 2014)

Generalized hierarchical kernel learning. - Pratik Jawanpuria; Jagarlapudi Saketha Nath; Ganesh Ramakrishnan (J. Mach. Learn. Res., 2015)

Privacy-preserving Class Ratio Estimation. - Arun Shankar Iyer; J. Saketha Nath; Sunita Sarawagi (KDD, 2016)

Entity Resolution and Location Disambiguation in the Ancient Hindu Temples Domain using Web Data. - Ayush Maheshwari; Vishwajeet Kumar; Ganesh Ramakrishnan; J. Saketha Nath (NAACL-HLT (Demonstrations), 2018)

Optimizing DNN Architectures for High Speed Autonomous Navigation in GPS Denied Environments on Edge Devices. - Prafull Prakash; Chaitanya Murti; J. Saketha Nath; Chiranjib Bhattacharyya (PRICAI (2), 2019)

Statistical Optimal Transport posed as Learning Kernel Embedding. - Jagarlapudi Saketha Nath; Pratik Kumar Jawanpuria (NeurIPS, 2020)

Unbalanced Optimal Transport using Integral Probability Metric Regularization. - J. Saketha Nath (CoRR, 2020)

Joint Learning of Hyperbolic Label Embeddings for Hierarchical Multi-label Classification. - Soumya Chatterjee 002; Ayush Maheshwari; Ganesh Ramakrishnan; Saketha Nath Jagarlapudi (EACL, 2021)

Improving Attribution Methods by Learning Submodular Functions. - Piyushi Manupriya; Tarun Ram Menta; Saketha Nath Jagarlapudi; Vineeth N. Balasubramanian (AISTATS, 2022)

Empirical Optimal Transport between Conditional Distributions. - Piyushi Manupriya; Rachit Keerti Das; Sayantan Biswas; Shivam Chandhok; Saketha Nath Jagarlapudi (CoRR, 2023)

Consistent Optimal Transport with Empirical Conditional Measures. - Piyushi Manupriya; Rachit Keerti Das; Sayantan Biswas; Saketha Nath Jagarlapudi (AISTATS, 2024)

Submodular framework for structured-sparse optimal transport. - Piyushi Manupriya; Pratik Jawanpuria; Karthik S. Gurumoorthy; Saketha Nath Jagarlapudi; Bamdev Mishra (ICML, 2024)

MMD-Regularized Unbalanced Optimal Transport. - Piyushi Manupriya; Saketha Nath Jagarlapudi; Pratik Jawanpuria (Trans. Mach. Learn. Res., 2024)

Multi-agent Multi-armed Bandits with Minimum Reward Guarantee Fairness. - Piyushi Manupriya; Himanshu; Saketha Nath Jagarlapudi; Ganesh Ghalme (AAMAS, 2025)

Unsupervised Structural-Counterfactual Generation under Domain Shift. - Krishn Vishwas Kher; Lokesh Venkata Siva Maruthi Badisa; Kusampudi Venkata Datta Sri Harsha; Chitneedi Geetha Sowmya; Saketha Nath Jagarlapudi (CoRR, 2025)

Learning Counterfactually Fair Models via Improved Generation with Neural Causal Models. - Krishn Vishwas Kher; Aditya Varun V; Shantanu Das; Saketha Nath Jagarlapudi (CoRR, 2025)