Kapilan Balagopalan

PhD Student, University of Arizona

kapilanbgp [AT] arizona.edu

Bio

I am a PhD candidate in Computer Science at the University of Arizona, co-advised by Kwang-Sung Jun and Chicheng Zhang. My research centers on sequential decision-making, including bandit algorithms, partial monitoring, and reinforcement learning, with applications to recommender systems; I am also interested in leveraging these theoretical tools to fine-tune and improve large language models. I received my B.Sc. in Electronics and Telecommunication Engineering from the University of Moratuwa. During my undergraduate studies, I completed a summer research internship at Nanyang Technological University under the supervision of Guohua Wang, where I worked on blind channel equalization in the presence of co-channel interference.

Publications

Most recent publications on Google Scholar.
indicates equal contribution.

Published

Fixing the Loose Brake: Exponential-Tailed Stopping Time in Best Arm Identification

Kapilan Balagopalan, Tuan Ngo Nguyen, Yao Zhao, Kwang-Sung Jun

ICML'25: International Conference on Machine Learning. 2025.

Minimum Empirical Divergence for Sub-Gaussian Linear Bandits

Kapilan Balagopalan, Kwang-Sung Jun

AISTATS'25: International Conference on Artificial Intelligence and Statistics. 2025.

Blind Equalization in the Presence of Co-channel Interference Based on Higher-Order Statistics

Guohua Wang, Kapilan Balagopalan, Sirajudeen Gulam Razul, Shang-Kee Ting, Chong Meng Samson See

Circuits, Systems, and Signal Processing. 2018.

Under review

Fixed Budget is No Harder Than Fixed Confidence in Best-Arm Identification up to Logarithmic Factors

Kapilan Balagopalan, Yinan Li, Yao Zhao, Tuan Ngo Nguyen, Anton Daitche, Houssam Nassif, Kwang-Sung Jun

(under review) ICML'26: International Conference on Machine Learning. 2026.

Vitæ

Full Resume in PDF.

I made this webpage using Martin Saveski's template, available here.