Contact Information
725 S. Wright St.
M/C 374
Champaign, IL 61820
Biography
2022-present: Associate Professor, Department of Statistics, University of Illinois at Urbana-Champaign.
2018-2022: Assistant Professor, Department of Statistics, University of Illinois at Urbana-Champaign.
2016-2018: Assistant Professor, Department of Statistics, Florida State University.
2014-2016: Postdoctoral Researcher, Department of EECS, University of California, Berkeley.
Research Interests
Bayesian inference; High-dimensional statistics; Machine learning; Nonparametric statistics; Optimization.
Education
PhD, Statistics, Duke University, 2014.
BS, Mathematics, Tsinghua University, 2011.
External Links
Recent Publications
Liu, M., Shang, Z., Yang, Y., & Cheng, G. (2022). Nonparametric Testing Under Randomized Sketching. IEEE transactions on pattern analysis and machine intelligence, 44(8), 4280-4290. https://doi.org/10.1109/TPAMI.2021.3063223
Tang, R., & Yang, Y. (Accepted/In press). Bayesian inference for risk minimization via exponentially tilted empirical likelihood. Journal of the Royal Statistical Society. Series B: Statistical Methodology. https://doi.org/10.1111/rssb.12510
Chen, X., & Yang, Y. (2021). Cutoff for Exact Recovery of Gaussian Mixture Models. IEEE Transactions on Information Theory, 67(6), 4223-4238. [9366690]. https://doi.org/10.1109/TIT.2021.3063155
Chen, X., & Yang, Y. (2021). Diffusion K-means clustering on manifolds: Provable exact recovery via semidefinite relaxations. Applied and Computational Harmonic Analysis, 52, 303-347. https://doi.org/10.1016/j.acha.2020.03.002
Chen, X., Lee, J. D., Li, H., & Yang, Y. (Accepted/In press). Distributed Estimation for Principal Component Analysis: An Enlarged Eigenspace Analysis. Journal of the American Statistical Association. https://doi.org/10.1080/01621459.2021.1886937
