UG '24 batch.
Convex Optimization: Algorithms '24 batch.
Moments
Awards
2021
PhD Fellowship
Our PhD student selected as one among the 4 Indian receipients of the early-stage (4 Yrs fellowship) Google PhD Fellowship '21; also selected for PMRF '21.
Conference Publications
2024
Empirical Optimal Transport between Conditional Distributions
Piyushi Manupriya, Rachit Keerti Das, Sayantan Biswas, J Saketha Nath
AISTATS2022
Improving Attribution Methods by Learning Submodular Functions
Piyushi Manupriya, Tarun Ram Menta, SakethaNath Jagaralpudi, Vineeth N Balasubramanian
AISTATS | Project Webpage2021
Joint Learning of Hyperbolic Label Embeddings for Hierarchical Multi-label Classification
Soumya Chatterjee, Ayush Maheshwari, Ganesh Ramakrishnan and SakethaNath Jagaralpudi
EACL2020
Statistical Optimal Transport posed as Learning Kernel Embedding
J. Saketha Nath and Pratik Jawanpuria
NeurIPS | 3 mins Video | Code2019
Optimizing DNN Architectures for High Speed Autonomous Navigation in GPS Denied Environments on Edge Devices
Prafull Prakash, Chaitanya Murti, J. Saketha Nath and Chiranjib Bhattacharyya
PRICAI(2)2018
Entity Resolution and Location Disambiguation in Ancient Hindu Temples Domain using Web Data
Ayush Maheshwari, Vishwajeet kumar, Ganesh Ramakrishnan and J. Saketha Nath
NAACL-HLT(demo track)2016
2014
On p-norm Path Following in Multiple Kernel Learning for Non-linear Feature Selection
Pratik J., Manik Varma and Saketha Nath J
ICML
2013
Detecting Turnarounds in Sentiment Analysis: Thwarting
Prafull Prakash, Chaitanya Murti, J. Saketha Nath and Chiranjib Bhattacharyya
ACL short papers2012
A Convex Feature Learning Formulation for Latent Task Structure Discovery
Pratik J., and J. Saketha Nath
ICML2011
2009
On the Algorithmics and Applications of a Mixed-norm based Kernel Learning Formulation
J. Saketha Nath, G. Dinesh, S. Raman, C. Bhattacharyya, A. Ben-Tal, K. R. Ramakrishnan
NIPS
Interval Data Classification under Partial Information: A Chance-Constraint Approach
S. Bhadra, J. Saketha Nath, A. Ben-Tal and C. Bhattacharyya
PAKDD [Best Paper-Runner Up] | Slides2007
Maximum Margin Classifiers with Specified False Positive and False Negative Error Rates
J. Saketha Nath and C. Bhattacharyya
SDM2006
Clustering Based Large Margin Classification: A Scalable Approach using SOCP Formulation
J. Saketha Nath, C. Bhattacharyya and M. N. Murty
SIGKDDJournal Publications
2024
MMD-Regularized Unbalanced Optimal Transport
Piyushi Manupriya, Jagarlapudi SakethaNath, Pratik Jawanpuria
TMLR2015
Generalized Hierarchical Kernel Learning
Pratik Jawapuria, J. SakethaNath and Ganesh Ramakrishnan
JMLR vol. 16, Pg. 617-652, Mar 2015.2013
Robust formulations for clustering-based large-scale classification
J. Saketha Nath, A. Ben-Tal and C. Bhattacharyya
Journal of Optimization & Engg. vol. 14(2), Pg. 225-250, June 2013 | Code | More2011
2010
Chance Constrained Uncertain Classification via Robust Optimization
A. Ben-Tal, S. Bhadra, C. Bhattacharyya and J. Saketha Nath
Mathematical Programming Series B (special issue on Machine Learning), vol. 127(1), Pg. 145-173, 20102006
An efficient clustering scheme using support vector methods
A. Ben-Tal, S. Bhadra, C. Bhattacharyya and J. Saketha Nath
Pattern Recognition vol. 39(8), Pg. 1473-1480, 2006 | Code