Kapilan Balagopalan

PhD Student, University of Arizona

kapilanbgp [AT] arizona.edu

Bio

I am a PhD student in Computer Science at the University of Arizona, where I’m advised by Kwang-Sung Jun. My research focuses on reinforcement learning and sequential decision-making. I hold a B.Sc. in Electronics and Telecommunication Engineering from the University of Moratuwa. During my undergraduate studies, I completed a summer 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.

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

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

Arxiv'25: arXiv preprint. 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.

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

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

Arxiv'25: arXiv preprint. 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.

Vitæ

Full Resume in PDF.

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