On the algorithmics and applications of a mixed-norm based kernel learning formulation S Jagarlapudi, C Bhattacharyya, A Ben-tal, R Kr
Advances in neural information processing systems 22, 2009
63 2009 Variable sparsity kernel learning J Aflalo, A Ben-Tal, C Bhattacharyya, JS Nath, S Raman
Journal of Machine Learning Research 12 (2), 565-592, 2011
62 2011 Censored semi-bandits: A framework for resource allocation with censored feedback A Verma, M Hanawal, A Rajkumar, R Sankaran
Advances in Neural Information Processing Systems 32, 2019
20 2019 Identifying Groups of Strongly Correlated Variables through Smoothed Ordered Weighted R Sankaran, F Bach, C Bhattacharya
Artificial Intelligence and Statistics, 1123-1131, 2017
10 2017 Spectral norm regularization of orthonormal representations for graph transduction R Shivanna, BK Chatterjee, R Sankaran, C Bhattacharyya, F Bach
Advances in Neural Information Processing Systems 28, 2015
8 2015 Controlled sparsity kernel learning D Govindaraj, R Sankaran, S Menon, C Bhattacharyya
arXiv preprint arXiv:1401.0116, 2013
7 2013 Censored semi-bandits for resource allocation A Verma, MK Hanawal, A Rajkumar, R Sankaran
arXiv preprint arXiv:2104.05781, 2021
2 2021 Structured Regularization Through Convex Relaxations Of Discrete Penalties R Sankaran
2021 Learning With Subquadratic Regularization: A Primal-Dual Approach. R Sankaran, FR Bach, C Bhattacharyya
IJCAI, 1963-1969, 2020
2020 Primal-Dual Algorithms for Subquadratic Norms R Sankaran, F Bach, C Bhattacharyya
Arun VermaSingapore-MIT Alliance for Research and TechnologyПодтвержден адрес электронной почты в домене mit.edu