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
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
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
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
