Saketha Nath Jagarlapudi

According to our database, Saketha Nath Jagarlapudi authored at least 26 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MMD-Regularized Unbalanced Optimal Transport.

Piyushi Manupriya, Saketha Nath Jagarlapudi, Pratik Jawanpuria

Trans. Mach. Learn. Res., 2024

Submodular framework for structured-sparse optimal transport.

Piyushi Manupriya, Pratik Jawanpuria, Karthik S. Gurumoorthy, Saketha Nath Jagarlapudi, Bamdev Mishra

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Consistent Optimal Transport with Empirical Conditional Measures.

Piyushi Manupriya, Rachit Keerti Das, Sayantan Biswas, Saketha Nath Jagarlapudi

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Empirical Optimal Transport between Conditional Distributions.

Piyushi Manupriya, Rachit Keerti Das, Sayantan Biswas, Shivam Chandhok, Saketha Nath Jagarlapudi

CoRR, 2023

2022

Improving Attribution Methods by Learning Submodular Functions.

Piyushi Manupriya, Tarun Ram Menta, Saketha Nath Jagarlapudi, Vineeth N. Balasubramanian

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Joint Learning of Hyperbolic Label Embeddings for Hierarchical Multi-label Classification.

Soumya Chatterjee, Ayush Maheshwari, Ganesh Ramakrishnan, Saketha Nath Jagarlapudi

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2020

Unbalanced Optimal Transport using Integral Probability Metric Regularization.

J. Saketha Nath

CoRR, 2020

Statistical Optimal Transport posed as Learning Kernel Embedding.

Jagarlapudi Saketha Nath, Pratik Kumar Jawanpuria

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Optimizing DNN Architectures for High Speed Autonomous Navigation in GPS Denied Environments on Edge Devices.

Prafull Prakash, Chaitanya Murti, J. Saketha Nath, Chiranjib Bhattacharyya

Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

2018

Entity Resolution and Location Disambiguation in the Ancient Hindu Temples Domain using Web Data.

Ayush Maheshwari, Vishwajeet Kumar, Ganesh Ramakrishnan, J. Saketha Nath

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics, 2018

2016

Privacy-preserving Class Ratio Estimation.

Arun Shankar Iyer, J. Saketha Nath, Sunita Sarawagi

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2015

Generalized hierarchical kernel learning.

Pratik Jawanpuria, Jagarlapudi Saketha Nath, Ganesh Ramakrishnan

J. Mach. Learn. Res., 2015

2014

On p-norm Path Following in Multiple Kernel Learning for Non-linear Feature Selection.

Pratik Jawanpuria, Manik Varma, J. Saketha Nath

Proceedings of the 31th International Conference on Machine Learning, 2014

Maximum Mean Discrepancy for Class Ratio Estimation: Convergence Bounds and Kernel Selection.

Arun Shankar Iyer, J. Saketha Nath, Sunita Sarawagi

Proceedings of the 31th International Conference on Machine Learning, 2014

2013

Detecting Turnarounds in Sentiment Analysis: Thwarting.

Ankit Ramteke, Akshat Malu, Pushpak Bhattacharyya, J. Saketha Nath

Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012

A Convex Feature Learning Formulation for Latent Task Structure Discovery.

Pratik Jawanpuria, J. Saketha Nath

Proceedings of the 29th International Conference on Machine Learning, 2012

2011

Chance constrained uncertain classification via robust optimization.

Aharon Ben-Tal, Sahely Bhadra, Chiranjib Bhattacharyya, J. Saketha Nath

Math. Program., 2011

Variable Sparsity Kernel Learning.

Jonathan Aflalo, Aharon Ben-Tal, Chiranjib Bhattacharyya, Jagarlapudi Saketha Nath, Raman Sankaran

J. Mach. Learn. Res., 2011

Multi-task Multiple Kernel Learning.

Pratik Jawanpuria, Jagarlapudi Saketha Nath

Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Efficient Rule Ensemble Learning using Hierarchical Kernels.

Pratik Jawanpuria, Jagarlapudi Saketha Nath, Ganesh Ramakrishnan

Proceedings of the 28th International Conference on Machine Learning, 2011

2009

Interval Data Classification under Partial Information: A Chance-Constraint Approach.

Sahely Bhadra, J. Saketha Nath, Aharon Ben-Tal, Chiranjib Bhattacharyya

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

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

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

2007

Maximum Margin Classifiers with Specified False Positive and False Negative Error Rates.

J. Saketha Nath, Chiranjib Bhattacharyya

Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

Focused crawling with scalable ordinal regression solvers.

Rashmin Babaria, J. Saketha Nath, S. Krishnan, K. R. Sivaramakrishnan, Chiranjib Bhattacharyya, M. Narasimha Murty

Proceedings of the Machine Learning, 2007

2006

An efficient clustering scheme using support vector methods.

J. Saketha Nath, Shirish K. Shevade

Pattern Recognit., 2006

Clustering based large margin classification: a scalable approach using SOCP formulation.

J. Saketha Nath, Chiranjib Bhattacharyya, M. Narasimha Murty

Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006