Contact Information
605 E Springfield Ave,
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; non-parametric statistics; statistical learning theory; optimization.
Education
PhD, Statistics, Duke University, 2014.
BS, Mathematics, Tsinghua University, 2011.
Additional Campus Affiliations
Associate Professor, Statistics
External Links
Recent Publications
Chen, Y., Yao, R., Yang, Y., & Chen, J. (2023). A Gromov-Wasserstein Geometric View of Spectrum-Preserving Graph Coarsening. Proceedings of Machine Learning Research, 202, 4804-4825.
Chen, Y., He, S., Yang, Y., & Liang, F. (2023). Learning Topic Models: Identifiability and Finite-Sample Analysis. Journal of the American Statistical Association, 118(544), 2860-2875. https://doi.org/10.1080/01621459.2022.2089574
Tang, R., & Yang, Y. (2023). Minimax Nonparametric Two-Sample Test under Adversarial Losses. Proceedings of Machine Learning Research, 206, 6132-6165.
Tang, R., & Yang, Y. (2023). MINIMAX RATE OF DISTRIBUTION ESTIMATION ON UNKNOWN SUBMANIFOLDS UNDER ADVERSARIAL LOSSES. Annals of Statistics, 51(3), 1282-1308. https://doi.org/10.1214/23-AOS2291
Wu, T., Narisetty, N. N., & Yang, Y. (2023). Statistical inference via conditional Bayesian posteriors in high-dimensional linear regression. Electronic Journal of Statistics, 17(1), 769-797. https://doi.org/10.1214/23-EJS2113