Parameswaran Kamalaruban

About Me: Since September 2017 I've been a postdoc at EPFL (LIONS research group) working with Volkan Cevher. I completed my Ph.D. in Computer Science at the Australian National University, working with Bob Williamson. I was also attached to the Analytics program of Data61. I obtained my honours degree (B.Sc (Hons)) in Electronics and Telecommunication Engineering at the University of Moratuwa

Research Interests: Statistical Learning Theory, Statistical Decision Theory, Information Theory, Reinforcement Learning, Online and Stochastic Optimization.

E-mail: kamalaruban [dot] parameswaran [at] epfl [dot] ch
Publications 

Thesis
[1] Parameswaran Kamalaruban. Transitions, Losses, and Re-parameterizations: Elements of Prediction Games. Thesis (PhD), 2017. [ link ] [ arXiv ]

Conference Proceedings: 
[1] Parameswaran Kamalaruban, Robert C. Williamson, and Xinhua Zhang. Exp-Concavity of Proper Composite Losses. In Proceedings of The 28th Conference on Learning Theory, pages 1035-1065, 2015. [ link ] [ arXiv ]
[2] Kush Bhatia, Prateek Jain, Parameswaran Kamalaruban, and Purushottam Kar. Consistent Robust Regression. In Advances in Neural Information Processing Systems, pages 2107-2116, 2017. [ link ] [ arXiv

Preprints:
[1] Parameswaran Kamalaruban. Improved Optimistic Mirror Descent for Sparsity and Curvature. [ arXiv
[2] Parameswaran Kamalaruban, and Robert C. Williamson. Minimax Lower Bounds for Cost-Sensitive Classification. [ arXiv
[3] Parameswaran Kamalaruban, Victor Perrier, Hassan Jameel Asghar, and Mohamed Ali Kaafar. dX-Private Mechanisms for Linear Queries. [ arXiv ]