Sudeep Raja is a Doctoral student in the IEOR Department at Columbia University, advised by Prof. Shipra Agrawal. His research interests are theoretical machine learning and optimization, specifically online learning, multi-armed bandits, and reinforcement learning. He aims to design efficient algorithms with provable guarantees for online decision-making. Sudeep holds a Master of Science in Computer Science from the University of Massachusetts Amherst and a Bachelor of Technology in Computer Science and Engineering from the Indian Institute of Technology Kharagpur.


Email: sudeepraja.putta at

Simons Institute Profile: 1, 2


  • I will be a Visiting Graduate Student in the Data Driven Decision Processes program at the Simons Institute in Fall 2022.
  • I am attending ALT 2022 in Paris, where I will present my work on Scale Free Adversarial Multi Armed Bandits.
  • I will be a Visiting Graduate Student in the Theory of Reinforcement Learning program at the Simons Institute in Fall 2020.
  • I will be attending COLT’19 and STOC’19 at Phoenix.
  • 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 will be presenting this work at Naha, Okinawa, Japan
  • 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, ArXiv






Don’t worry about the overall importance of the problem; work on it if it looks interesting. I think there’s a sufficient correlation between interest and importance. — David Blackwell