Chih-Yu Chang

Chih-Yu Chang

PhD student in Mathematics

Sitemap

A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.

Pages

Posts

Future Blog Post

less than 1 minute read

Published:

This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.

Blog Post number 4

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 2

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 1

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

portfolio

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

talks

teaching