Academic employment: Associate Professor of Economics (with tenure), UCSD, since July 2025; Assistant Professor of Economics, UCSD, 2019-2025; Assistant Professor of Statistics and Computer Science, Purdue University, West Lafayette, 2018-2019
Research areas: Mathematical Foundations of Statistical Learning, Nonasymptotic Statistics, High-Dimensional Estimation and Inference, Semiparametric and Nonparametric Methods
New Papers
Approximating invariant functions with the sorting trick is theoretically justified** by Wee Chaimanowong, Ying Zhu (alphabetical ordering)
Publications and Accepted Papers
**: Papers that are either single authored or co-authored with a student or a junior faculty member at the time of acceptance
Permutation Invariant Functions: Statistical Testing, Density Estimation and Metric Entropy** by Wee Chaimanowong, Ying Zhu (alphabetical ordering) - AISTATS 2025
On the limitations of data-based price discrimination** by Haitian Xie, Ying Zhu, Denis Shishkin (Xie and Zhu share the first authorship and are listed alphabetically).
Theoretical Economics, 2025
An extended abstract in ACM Economics and Computation 2024 (full paper peer refereed)
Phase transitions in nonparametric regressions** by Ying Zhu - Accepted at Journal of Econometrics, 2023
Omitted Variable Bias of Lasso-Based Inference Methods: A Finite Sample Analysis** by Kaspar Wuthrich, Ying Zhu (alphabetical ordering) - The Review of Economics and Statistics, 2023
Inference in Approximately Sparse Correlated Random Effects Probit Models with Panel Data by Jeffrey Wooldridge, Ying Zhu (alphabetical ordering) - The Journal of Business & Economic Statistics, 2020
High Dimensional Inference in Partially Linear Models by Ying Zhu, Zhuqing Yu, Guang Cheng, AISTATS 2019
Sparse Linear Models and l1-Regularized 2SLS with High-Dimensional Endogenous Regressors and Instruments** {Additional materials from 2013} by Ying Zhu - The Journal of Econometrics, 2018
Nonasymptotic Analysis of Semiparametric Regression Models with High-Dimensional Parametric Coefficients** by Ying Zhu - The Annals of Statistics, 2017
Nonparametric Density Estimation Based on Truncated Mean** by Ying Zhu - Statistics and Probability Letters, 2013
Working Papers