Qiuyun Zhu
Postdoctoral fellow
University of Minnesota
School of Statistics
qzhu [at] umn [dot] edu
About
I am a Faragher distinguished postdoctoral fellow at IRSA in University of Minnesota. My research lies in theory and computational practice of high-dimensional statistics, Bayesian inference and optimization, with applications in machine learning, data science and game theory. I am currently working on topics including: sparse CCA, inverse problems, MCMC and generative adversarial networks (GANs).
I completed my B.S. in Mathematics at Nanjing University in 2016, my M.S. in Statistics at University of Wisconsin-Madison and my Ph.D. in Statistics, advised by Yves Atchade, at Boston University.
Publications and Preprints
Joint work with Yves Atchade. Journal of American Statistical Association, to appear, 2023.
Joint work with Renbo Zhao. Optimization Letters, Vol. 17, No. 7, Pages 1595 – 1611, 2023.
On the statistical complexity of gradient descent networks
Joint work with Yves Atchade, and Xinru Liu. Submitted, 2023.
New analysis of minimax formulation of minimum distance estimation, with applications to GANs
Joint work with Yves Atchade. Working paper.
Teaching Assistant
MA 681, Accelerated Introduction to Statistical Methods for Quantitative Research (Fall 2022)
MA 581, Probability (Fall 2021)
MA 576, Generalized Linear Models (Spring 2021)
MA 121, Calculus for the Life and Social Sciences I (Fall 2019)
MA 589, Computational Statistics (Fall 2019)
MA 585, Time Series and Forecasting (Spring 2019)
MA 411, Advanced Calculus (Fall 2018)