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Purushottam Kar

Purushottam Kar
RESEARCH FELLOW
.

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.

Publications

Talks

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

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
    Annual Conference on Neural Information Processing Systems (NIPS 2014)
    IEEE Transactions on Pattern Analysis & Machine Intelligence (PAMI)
    Advances in Computational Mathematics (ACOM)
    IEEE Transactions on IEEE Transactions on Systems, Man, and Cybernetics (SMC)
    IEEE Transactions on Neural Networks and Learning Systems (NNLS)