University of Michigan, Ann Arbor
Ph.D., Electrical and Computer Engineering, 2025–Present
Advisor: Shubhanshu Shekhar
Chia-Yu Hsu
Ph.D. candidate · Electrical and Computer Engineering
University of Michigan, Ann Arbor
I am a Ph.D. candidate at the University of Michigan, advised by Prof. Shubhanshu Shekhar. My research focuses on sequential inference, anytime-valid statistics, active testing and sampling, and efficient evaluation of machine-learning systems.
Email · CV · Google Scholar · GitHub
Research Interests
Sequential inference and anytime-valid statistics; active hypothesis testing and adaptive sampling; statistical and efficient evaluation of large language models; machine learning and reinforcement learning.
News
- 2026 Efficient Sequential Evaluation of Large Language Models is available as a preprint.
- 2026 Classifier-Based Nonparametric Sequential Hypothesis Testing is available as a preprint.
- 2026 Active Nonparametric Two-Sample Testing by Betting on Heterogeneous Data Sources appeared at IEEE ISIT 2026 as an oral presentation.
Publications
Efficient Sequential Evaluation of Large Language Models
Chia-Yu Hsu, Shubhanshu Shekhar
Preprint, 2026.
Classifier-Based Nonparametric Sequential Hypothesis Testing
Chia-Yu Hsu, Shubhanshu Shekhar
Preprint, 2026.
Active Nonparametric Two-Sample Testing by Betting on Heterogeneous Data Sources
Chia-Yu Hsu, Shubhanshu Shekhar
IEEE International Symposium on Information Theory (ISIT), 2026. Oral presentation.
Tradeoffs among Action Taking Policies Matter in Active Sequential Multi-Hypothesis Testing: The Optimal Error Exponent Region
Chia-Yu Hsu, I-Hsiang Wang
IEEE Transactions on Information Theory, 2025.
On the Optimal Tradeoffs among Error Exponents in Active Sequential Multiple Hypothesis Testing
Chia-Yu Hsu, I-Hsiang Wang
IEEE International Symposium on Information Theory (ISIT), 2024.
On Universal Sequential Classification from Sequentially Observed Empirical Statistics
Chia-Yu Hsu, Ching-Fang Li, I-Hsiang Wang
IEEE Information Theory Workshop (ITW), 2022.
For the most up-to-date list, please see my Google Scholar profile.
Education
National Taiwan University
M.S., Graduate Institute of Communication Engineering, 2019–2021
Advisor: I-Hsiang Wang
National Taiwan University of Science and Technology
B.S., Electrical Engineering, 2015–2019
Experience
Research Assistant · National Yang Ming Chiao Tung University
Reinforcement Learning and Bandits Lab · 2024–2025
Research Assistant · National Taiwan University
Networked Information and Communication Lab · 2023–2024
Wi-Fi Chip System Designer · Realtek Semiconductor Corp.
2021–2023