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Purushottam Kar

Purushottam Kar

I am a postdoctoral Research Fellow working with the Machine Learning and Optimization group. Previously I was a doctoral student at the Indian Institute of Technology Kanpur where I was fortunate to have been jointly advised by Prof. Harish Karnick and Prof. Manindra Agrawal. I did my bachelor studies from the same institution as well.

I am interested in theoretical and applied aspects in machine learning - presently I am interested in topics such as online learning, multi-armed bandits and kernel learning techniques. I also maintain an avid interest in learning theory, data streaming algorithms, geometry and cognitive science.

I maintain a separate homepage containing details about my research and contact information at the following URL (note that this link resides in a different domain): [my homepage].

Details of some of my recent publications can be found below.



  • Learning with Pairwise Losses
    Course Lecture for E0 370: Statistical Learning Theory, October 29, 2013.
    (Instructor: Prof. Shivani Agarwal, Dept. of CSA, IISc)
  • Online Learning with Pairwise Loss Functions
    MLSIG Seminar Series, Dept. of CSA, IISc, September 12, 2013.
  • A pre-Weekend Talk on Online Learning
    TGIF Talk Series, Microsoft Research India, August 23, 2013.
  • Explicit Feature Methods for Accelerated Kernel Learning,
    Machine Learning and Optimization Group, Microsoft Research India, August 14, 2013.

Other News

  • Indian Unit of Pattern Recognition and Artificial Intelligence (IUPRAI) Doctoral Dissertation Award for the year 2014
  • NIPS Reviewer Award for the year 2013

  • PC Member:  SDM 2015, CODS 2015, CODS 2014

  • Reviewer
    32nd International Conference on Machine Learning (ICML 2015)
    24th International Joint Conference on Artificial Intelligence (IJCAI 2015)
    28th Annual Conference on Neural Information Processing Systems (NIPS 2014)
    IEEE Transactions on Pattern Analysis & Machine Intelligence (PAMI)
    IEEE Transactions on Neural Networks and Learning Systems (NNLS)
    IEEE Transactions on IEEE Transactions on Systems, Man, and Cybernetics (SMC)
    Advances in Computational Mathematics (ACOM