Federated Offline Contextual Bayesian Optimization
C.-Y. Chang, Q. Chen, T. Gao, C. Okwudire, D. Fenning, N. Dasgupta, W. Lu and R. A. Kontar. "Federated Offline Contextual Bayesian Optimization." arXiv preprint, 2026.
CV
Education
- PhD in Mathematics, Imperial College London, 2025–present
- Supervisor: Prof. Kelly W. Zhang
- Co-supervisor: Prof. Andrew Duncan
- MSc in Applied Statistics, University of Michigan, Ann Arbor, 2024
- Advisor: Prof. Raed Al Kontar
- BSc in Mathematics, National Tsing Hua University, 2023
- Advisor: Dr. Ming-Chung Chang
Research Experience
- Research Assistant, Institute of Statistical Science, Academia Sinica, 2023 and 2025
- Mentor: Dr. Ming-Chung Chang
- Visiting Scholar, Institute of Statistical Science, Academia Sinica, 2024
Publications
LLINBO: Trustworthy LLM In-the-Loop Bayesian Optimization
C.-Y. Chang, M. Azvar, C. Okwudire and R. A. Kontar. "LLINBO: Trustworthy LLM In-the-Loop Bayesian Optimization." arXiv preprint, 2026.
Bootstrap Aggregation for Regression Problems via Generalized Least Squares
C.-Y. Chang and M.-C. Chang. "Bootstrap Aggregation for Regression Problems via Generalized Least Squares." Statistics and Computing 36(135), 2026.
Accelerated Aggregated D-Optimal Designs for Estimating Main Effects in Black-Box Models
C.-Y. Chang and M.-C. Chang. "Accelerated Aggregated D-Optimal Designs for Estimating Main Effects in Black-Box Models." arXiv preprint, 2026.
Teaching
Service
- Journal reviewer: Journal of Data Science
- Conference reviewer: AISTATS 2026, UAI 2026
Awards
- Roth Scholarship, Department of Mathematics, Imperial College London, 2025–2029
- Government Scholarship for Studying Abroad, Ministry of Education, Taiwan, 2023–2025
- Special Education Student Award Grant, National Tsing Hua University, 2020–2022
- Adjunct Research Grant, Institute of Statistical Science, Academia Sinica, 2022–2023