Wenxin Zhou
University of California, San Diego
H-index: 21
North America-United States
Top articles of Wenxin Zhou
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Private optimal inventory policy learning for feature-based newsvendor with unknown demand | arXiv preprint arXiv:2404.15466 | Tuoyi Zhao Wen-Xin Zhou Lan Wang | 2024/4/23 |
Online quantile regression | arXiv preprint arXiv:2402.04602 | Yinan Shen Dong Xia Wen-Xin Zhou | 2024/2/7 |
Retire: Robust expectile regression in high dimensions | Journal of Econometrics | Rebeka Man Kean Ming Tan Zian Wang Wen-Xin Zhou | 2024/2/1 |
A unified algorithm for penalized convolution smoothed quantile regression | Journal of Computational and Graphical Statistics | Rebeka Man Xiaoou Pan Kean Ming Tan Wen-Xin Zhou | 2023/12/20 |
Smoothed quantile regression with large-scale inference | Journal of Econometrics | Xuming He Xiaoou Pan Kean Ming Tan Wen-Xin Zhou | 2023/2/1 |
Robust estimation and inference for expected shortfall regression with many regressors | Journal of the Royal Statistical Society Series B: Statistical Methodology | Xuming He Kean Ming Tan Wen-Xin Zhou | 2023/9 |
Transfer learning for high-dimensional quantile regression with statistical guarantee | Transactions on Machine Learning Research | Sheng Qiao Yong He Wenxin Zhou | 2023/7/14 |
High-dimensional composite quantile regression: Optimal statistical guarantees and fast algorithms | Electronic Journal of Statistics | Haeseong Moon Wen-Xin Zhou | 2023 |
High-dimensional expected shortfall regression | arXiv preprint arXiv:2307.02695 | Shushu Zhang Xuming He Kean Ming Tan Wen-Xin Zhou | 2023/7/5 |
An efficient iterative least squares algorithm for large-dimensional matrix factor model via random projection | arXiv preprint arXiv:2301.00360 | Yong He Ran Zhao Wen-Xin Zhou | 2023/1/1 |
Huber principal component analysis for large-dimensional factor models | arXiv preprint arXiv:2303.02817 | Yong He Lingxiao Li Dong Liu Wen-Xin Zhou | 2023/3/6 |
Large-scale inference of multivariate regression for heavy-tailed and asymmetric data | Statistica Sinica | Youngseok Song Wen Zhou Wen-Xin Zhou | 2023 |
Package ‘conquer’ | Xuming He Xiaoou Pan Kean Ming Tan Wen-Xin Zhou Maintainer Xiaoou Pan | 2023/3/5 | |
On the asymptotic distribution of the scan statistic for empirical distributions | Extremes | Andrew Ying Wen-Xin Zhou | 2022/2/21 |
Communication-constrained distributed quantile regression with optimal statistical guarantees | Journal of Machine Learning Research | Kean Ming Tan Heather Battey Wen-Xin Zhou | 2022 |
High-dimensional quantile regression: Convolution smoothing and concave regularization | Journal of the Royal Statistical Society Series B: Statistical Methodology | Kean Ming Tan Lan Wang Wen-Xin Zhou | 2022/2 |
Matrix Kendall's tau in high-dimensions: A robust statistic for matrix factor model | arXiv preprint arXiv:2207.09633 | Yong He Yalin Wang Long Yu Wang Zhou Wen-Xin Zhou | 2022/7/20 |
Distributed adaptive Huber regression | Computational Statistics & Data Analysis | Jiyu Luo Qiang Sun Wen-Xin Zhou | 2022/5/1 |
How do noise tails impact on deep ReLU networks? | arXiv preprint arXiv:2203.10418 | Jianqing Fan Yihong Gu Wen-Xin Zhou | 2022/3/20 |
Package ‘adaHuber’ | Xiaoou Pan Wen-Xin Zhou Maintainer Xiaoou Pan | 2022/3/4 |
Co-Authors
