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Raman Sankaran
Raman Sankaran
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Title
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Cited by
Year
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
632009
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
602011
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
212019
Identifying Groups of Strongly Correlated Variables through Smoothed Ordered Weighted -norms
R Sankaran, F Bach, C Bhattacharya
Artificial Intelligence and Statistics, 1123-1131, 2017
112017
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
82015
Controlled sparsity kernel learning
D Govindaraj, R Sankaran, S Menon, C Bhattacharyya
CoRR, 2014
72014
Censored semi-bandits for resource allocation
A Verma, MK Hanawal, A Rajkumar, R Sankaran
arXiv preprint arXiv:2104.05781, 2021
22021
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
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Articles 1–10