About me
Hi! Welcome to my homepage.
My name is Kaylee. I recently received my PhD from the Department of Statistics & Data Science at Yale University, where I was fortunate to be advised by Prof. Zhou Fan and Prof. Andre Wibisono. My research interests broadly lie at the intersection of high-dimensional statistics, the theory of machine learning, and statistical physics.
Email: yingxi.yang@yale.edu, kayleeyyang@gmail.com
Recent Publications and Preprints
*: alphabetical
Bayesian inference of planted matchings: Local posterior approximation and infinite-volume limit
Zhou Fan*, Timothy L. H. Wee*, Kaylee Y. Yang*Asymptotic mutual information in quadratic estimation problems over compact groups
Kaylee Y. Yang, Timothy L. H. Wee, Zhou Fan
Information and Inference, 2025Optimal score estimation via empirical Bayes smoothing
Andre Wibisono*, Yihong Wu*, Kaylee Y. Yang*
Conference on Learning Theory (COLT), 2024Convergence of the inexact Langevin algorithm and score-based generative models in KL divergence
Kaylee Y. Yang, Andre WibisonoConvergence in KL and Rényi divergence of the unadjusted Langevin algorithm using estimated score [Poster]
Kaylee Y. Yang, Andre Wibisono
NeurIPS 2022 Workshop on Score-Based Methods
See my Google Scholar for a complete publication list.
Thesis
- From High-Dimensional Bayesian Inference to Generative Models: Information, Computation, and Optimality
Ph.D. dissertation, Dept of Statistics and Data Science, Yale University, May 2026
Francis J. Anscombe Award
Teaching Experience
- TA, S&DS 365/665 Intermediate Machine Learning, 2024 Fall
- Instructor: Dr. John Lafferty
- TA, S&DS 242/542 Theory of Statistics, 2024 Spring
- Instructor: Dr. Robert Wooster
- TA, S&DS 265/565 Introductory Machine Learning, 2023 Fall
- Instructor: Dr. John Lafferty
- TA, S&DS 364/664 Information Theory, 2023 Spring
- Instructor: Dr. Andrew Barron
- TA, S&DS 431/631 Optimization and Computation, 2022 Fall
- Instructor: Dr. Zhuoran Yang
Last updated: July 2026