About

Please visit http://prateekjain.org for the latest site and http://prateekjain.org/paper.html for my latest publications.

I am a member of the Machine Learning and Optimization and the Algorithms and Data Sciences Group at Microsoft Research, Bangalore, India. My research interests are in machine learning, large-scale (non-convex optimization), and statistical learning theory. I am also interested in applications of machine learning to privacy, computer vision, text mining and natural language processing. I completed my PhD at the University of Texas at Austin under Prof. Inderjit S. Dhillon.

I am also an adjunct faculty member at IIT Kanpur.

 


Professional Services

  • Organization:
    • Program Co-Chair, IKDD Conference on Data Sciences (CoDS), 2016.
    • Organizer, Machine Learning Summer School, Microsoft Research, 2015.
    • Organizer, Mysore Park Workshop on Machine Learning, Mysore, India, 2012.
  • Program Committee/Area Chair
    • COLT 2015, 2016
    • NIPS 2012, 2013, 2016

Students

Over the years, I have been very lucky to have worked with some amazing postdocs/interns/research fellows.

PostDocs:

  • Purushottam Kar, 2013-2015 (Asst. Prof., IIT Kanpur)
  • Nagarajan Natarajan, 2015- (Postdoc, MSR India)

Interns:

  • Elena-Madalina Persu, Summer’2015. (Phd Student, MIT)
  • Gautam Kamath, Summer’2015. (Phd Student, MIT)
  • Harikrishna Narasimhan, Summer’2014. (Postdoc, Harvard University)
  • Praneeth Netrapalli, Summer’2012, 2014. (Postdoc, Microsoft Research New England)
  • Srinadh Bhojanapalli, Summer’2013, 2014. (Assistant Professor, TTI Chicago)
  • Pravesh Kothari, Summer’2014. (Phd Student, UT Austin)
  • Purushottam Kar, Summer’2012. (Assistant Professor, IIT Kanpur)
  • Sivakanth Gopi, Summer’2012. (Phd Student, Princeton University)
  • Ankan Saha, Summer’2011. (Software Engineer, LinkedIn)
  • Saurabh Gupta, Summer’2011. (Phd Student, UC Berkeley)

Research Fellows:

  • Kush Bhatia, 2014-2016. (PhD Student, UC Berkeley)
  • Yeshwanth Cherapanamjeri, 2015-. (RF, MSR India)
  • Raajay Viswanathan, 2011-2013. (PhD Student, UWisc Madison)

Projects

Publications

Videos

Other

Projects

  • Non-convex Optimization for High-Dimensional Statistics
  • Matrix Completion and Low-rank Matrix Recovery
  • Compressive Sensing
  • Learning with Non-decomposable Loss Functions
  • Differential Privacy for Machine Learning
  • Distance Metric Learning