Bio

I am a research scientist at Google Research working in the New York office. My current research is the design of efficient and practical algorithms for fundamental problems in Machine Learning and Optimization. More specifically, I am interested in decision making under uncertainty, statistical learning theory, combinatorial optimization, and convex optimization techniques such as linear and semidefinite programming.

Contact

  •    Google
    111 8th Avenue, 4th Floor
    New York, NY 10011
  •    satyen [at] satyenkale [dot] com

News

  • 2019
    ALT 2019 program chair
    Aurélien Garivier and I were program chairs for Algorithmic Learning Theory (ALT) 2019.
  • 2018
    COLT 2018 best student paper award
    Dylan Foster, Haipeng Luo, Mehryar Mohri, Karthik Sridharan and I won a best student paper award at COLT 2018 for our paper Logistic Regression: The Importance of Being Improper.
  • 2018
    NIPS 2018 senior area chair
    I will be serving as a senior area chair for NIPS 2018.
  • 2018
    ICLR 2018 best paper award
    Sashank Reddi, Sanjiv Kumar, and I won a best paper award at ICLR 2018 for our paper On the convergence of Adam and beyond.
  • 2017
    COLT 2017 program chair
    Ohad Shamir and I are the program chairs for the Conference on Learning Theory (COLT) in 2017. This is the premier conference for the theory of machine learning.
  • 2016
    COLT 2016 local chair
    Daniel Hsu and I served as local chairs for the Conference on Learning Theory, 2016, held at Columbia University in New York City.
  • 2016
    ICML 2016 area chair
    I was an area chair for the International Conference of Machine Learning, 2016.
  • 2015
    ICML 2015 best paper award
    My paper with Alina Beygelzimer and Haipeng Luo titled Online Gradient Boosting won a best paper award at the International Conference of Machine Learning, 2015.

    Positions

    • Present2016

      Staff Research Scientist

      Google Research, New York, NY

    • 20162013

      Senior Research Scientist

      Yahoo Research, New York, NY

    • 05/201601/2016

      Adjunct Professor

      Columbia University, New York, NY

    • 20132011

      Research Staff Member

      IBM Research, Yorktown Heights, NY

    • 20112009

      Postdoctoral Researcher

      Yahoo Research, Santa Clara, CA

    • 20092007

      Postdoctoral Researcher

      Microsoft Research, Redmond, WA and Cambridge, MA

    Education

    • Ph.D. 2007

      Ph.D. in Computer Science

      Princeton University

    • M.A. 2004

      M.A. in Computer Science

      Princeton University

    • B.Tech. 2002

      B.Tech. in Computer Science and Engineering

      Indian Institute of Technology, Bombay