Department of Computer Science and Automation

Indian Institute of Science, Bangalore, India

Arun Rajkumar

I am a PhD student in the Machine Learning and Learning Theory lab at the Department of CSA, IISc. I am advised by Prof. Shivani Agarwal. I am broadly interested in the area of Machine learning with specific focus to rank aggregation algorithms. My Ph.D is supported by a Microsoft India PhD Fellowship grant.

Background

Ph.D Department of CSA, Indian Institute of Science 2010- present
M.Sc Engg (by research) Department of CSA, Indian Institute of Science 2008-2010
Software Engineer Cisco Systems, Bangalore 2006-2008
B.E Department of CSE, PSG College of Technology, Coimbatore 2002-2006


News/Activities

  • Co-organizing the NIPS-2014 workshop on Analysis of Rank Data.
  • Nominated by the department for a talk at the ACM-India Annual event - research scholar's day @ IIT-Delhi (Feb, 2014).
  • Talk at the Indo-US lecture week on Machine Learning, Game Theory and Optimization (Jan, 2014).
  • Visiting scholar in the Statistics deparment at University of Chicago with Prof. Lek-heng Lim. (Sep-Dec, 2013).
  • Organized the first Undergraduate summer school initiative at CSA, IISc (Jul, 2012).
  • Awarded the Dr. M.N.S. Swamy Medal for Best M.Sc (Engg) Thesis (2010-11)


    • Publications


  • Arun Rajkumar and Shivani Agarwal.
    Online decision-making in general combinatorial spaces.
    In Advances in Neural Information Processing Systems (NIPS), 2014.
    To appear.


  • Arun Rajkumar and Shivani Agarwal.
    A statistical convergence perspective of algorithms for rank aggregation from pairwise data.
    In Proceedings of the 31st International Conference on Machine Learning (ICML), 2014.
    pdf


  • Arun Rajkumar and Shivani Agarwal.
    A differentially private stochastic gradient descent algorithm for multiparty classification.
    In Proceedings of the 15th International Conference on Artificial Intelligence and Statistics (AISTATS), 2012.
    pdf


  • R. Arun, V. Suresh, C. E. Veni Madhavan, M. Narasimha Murthy
    On Finding the natural number of topics with latent dirichlet allocation: Some observations.
    In Proceedings of the Pacific Asia Knowledge Discovery and Data Mining (PAKDD), 2010.
    link


  • R. Arun, R. Sharadha, V. Suresh, C. E. Veni Madhavan, M. Narasimha Murthy
    Stopwords and stylometry: A latent dirichlet allocation approach.
    In Advances in Neural Information Processing System workshop on Applications of topic models and beyond (NIPS), 2009.
    pdf


  • R. Arun, V. Suresh, C. E. Veni Madhavan
    Stopword graphs and authorship attribution in text Corpora.
    In Proceedings of the International Conference on Semantic Computing (ICSC), 2009.
    link


    • Contact

    Room # CSA 230

    Machine Learning and Learning Theory Lab

    www.csa.iisc.ernet.in

    arun_r@csa.iisc.ernet.in