About me
Welcome to my homepage!
I am a fourth-year PhD student in the Department of Statistics & Data Science at Yale University. I am very fortunate to be advised by Prof. Zhou Fan and Prof. Andre Wibisono. My current research interests lie in the intersection of theoretical statistics and machine learning theory, with a recent focus on statistical physics and sampling algorithms.
Prior to Yale, I got my BS in Statistics and BPhil in Logic from Sun Yet-Sen University (SYSU) in Guangzhou China. During my junior and senior years, I worked on machine learning applications in genetics with Prof. Liming Liang at Harvard Biostatistics and Prof. Yun Li at University of North Carolina, Chapel Hill (UNC-CH) Biostatistics.
Email: yingxi.yang@yale.edu
Recent Publications and Preprints
*: alphabetical
Asymptotic mutual information in quadratic estimation problems over compact groups
Kaylee Y. Yang, Timothy L. H. Wee, Zhou FanOptimal score estimation via empirical Bayes smoothing
Andre Wibisono, Yihong Wu, Kaylee Y. Yang*
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] (preliminary version of the preprint above)
Kaylee Y. Yang, Andre Wibisono
NeurIPS 2022 Workshop on Score-Based Methods
See my Google Scholar for a complete publication list.
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: August 29, 2024