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 (NIPS, 2009)

Variable Sparsity Kernel Learning. - Jonathan Aflalo; Aharon Ben-Tal; Chiranjib Bhattacharyya; Jagarlapudi Saketha Nath; Raman Sankaran (J. Mach. Learn. Res., 2011)

Controlled Sparsity Kernel Learning. - Dinesh Govindaraj; Raman Sankaran; Sreedal Menon; Chiranjib Bhattacharyya (CoRR, 2014)

Spectral Norm Regularization of Orthonormal Representations for Graph Transduction. - Rakesh Shivanna; Bibaswan K. Chatterjee; Raman Sankaran; Chiranjib Bhattacharyya; Francis R. Bach (NIPS, 2015)

Identifying Groups of Strongly Correlated Variables through Smoothed Ordered Weighted L1-norms. - Raman Sankaran; Francis R. Bach; Chiranjib Bhattacharyya (AISTATS, 2017)

Censored Semi-Bandits: A Framework for Resource Allocation with Censored Feedback. - Arun Verma; Manjesh Kumar Hanawal; Arun Rajkumar; Raman Sankaran (NeurIPS, 2019)

Learning With Subquadratic Regularization : A Primal-Dual Approach. - Raman Sankaran; Francis R. Bach; Chiranjib Bhattacharyya (IJCAI, 2020)

Censored Semi-Bandits for Resource Allocation. - Arun Verma; Manjesh Kumar Hanawal; Arun Rajkumar; Raman Sankaran (CoRR, 2021)