I am a second year Ms/PhD student at the College of Information and Computer Sciences at the University of Massachusetts Amherst.

I am broadly interested in the theoretical foundations of Machine Learning. Some speicific areas of interest include Online Learning, Bandits, Statistical Learning Theory, Reinforcement Learning Theory and Convex/Non-Convex/Combinatorial Optimization.

Prior to joining UMass, I was a Budding Scientist at Conduent Labs/Xerox Research Center India from June 2016 to June 2017. I graduted from the Indian Institute of Technology, Kharagpur with a Bachelor’s degree in Computer Science and Engineering in 2016.


Email: sputta at cs.umass.edu


  • I will be attending the MIFODS workshop on Non-convex optimization and deep learning in January.
  • My paper, Exponential Weights on the Hypercube in Polynomial Time, has been accepted at AISTATS 2019. This is joint work with Abhishek Shetty.
  • I received the Sudha Mishra and Rajesh Jha Scholarship.
  • In summer 2018 I will be interning with Navin Goyal at MSR Bangalore.


DBLP, Google Scholar