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 | 60 | 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 | 21 | 2019 |
Identifying Groups of Strongly Correlated Variables through Smoothed Ordered Weighted -norms R Sankaran, F Bach, C Bhattacharya Artificial Intelligence and Statistics, 1123-1131, 2017 | 11 | 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 CoRR, 2014 | 7 | 2014 |
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 | | |