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publications

LLINBO: Trustworthy LLM In-the-Loop Bayesian Optimization

C.-Y. Chang, M. Azvar, C. Okwudire and R. A. Kontar arXiv preprint, 2026

Bayesian Optimization Paper | Code | Presentation | Poster

Collaborative Contextual Bayesian Optimization

C.-Y. Chang, Q. Chen, T. Gao, C. Okwudire, D. Fenning, N. Dasgupta, W. Lu and R. A. Kontar arXiv preprint, 2026

Bayesian Optimization Paper | Code | Presentation | Poster

Accumulated Aggregated D-Optimal Designs for Estimating Main Effects in Black-Box Models

C.-Y. Chang and M.-C. Chang arXiv preprint, 2026

Statistical Learning Paper | Code | Presentation | Poster

Bootstrap Aggregation for Regression Problems via Generalized Least Squares

C.-Y. Chang and M.-C. Chang Statistics and Computing, 2026

Statistical Learning Paper | Code | Presentation | Poster

Bandit Simulation for Average Reward Inference

C.-Y. Chang*, S. Praharaj*, K. Khamaru and K. W. Zhang arXiv preprint, 2026

Statistical Inference for Bandits Paper | Code | Presentation | Poster

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