Email: shubhada@iisc.ac.in
Office: EC 2.07,
Department of Electrical Communication Engineering (ECE),
Indian Institute of Science,
Bangalore - 560012, India
Email: shubhada@iisc.ac.in
Office: EC 2.07,
Department of Electrical Communication Engineering (ECE),
Indian Institute of Science,
Bangalore - 560012, India
About Me:
I am an Assistant Professor in the Department of Electrical Communication Engineering (ECE) at the Indian Institute of Science (IISc), Bengaluru.
During 2023-24 I was a postdoctoral researcher mentored by Siva Theja Maguluri at Georgia Tech., and by Aaditya Ramdas at Carnegie Mellon University. In Dec. 2022, I completed my PhD from the School of Technology and Computer Science at the Tata Institute of Fundamental Research (TIFR), Mumbai, under the guidance of Sandeep Juneja. My PhD was partly supported by the Google PhD Fellowship in Machine Learning. Before joining TIFR, I worked in quantitative finance industry for a couple of years. I did my undergraduation (B.Tech+M.Tech) in Mathematics and Computing at IIT Delhi.
Research Interests:
My research primarily centers around learning theory, with a particular emphasis on sequential decision-making in uncertain environments. I have explored various problems within the sequential hypothesis testing and multi-armed bandit frameworks. I have also been looking at stochastic approximation techniques to advance theoretical understanding of reinforcement learning.
Recent News:
July 2026: I will be at the SAVI Conference, 2026, University of Twente, The Netherlands.
June 2026: I speak at the International Workshop in Sequential Methodologies, Washington DC.
May 2026: I am on the organizing committee (inclusivity chair) of AISTATS 2026!
Apr 2026: Another new work on iterated log regret bounds. Check it out!
Apr 2026: I have been awarded an Early Career Research Grant (PM-ECRG) by the Anusandhan National Research Foundation (ANRF).
Mar 2026: New preprint on dual representations for minimum information divergences. Check it out!
Mar 2026: New preprint on sequential testing with Markovian data. Check it out!
Mar 2026: New preprint on null bankruptcy of testing-by-betting strategies. Check it out!
Dec 2025: New preprint on iterated log regret bounds for unbounded data. Check it out!
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