| Statistical guarantees for regularized neural networks M Taheri, F Xie, J Lederer Neural Networks 142, 148-161, 2021 | 31 | 2021 |
| Sparse Poisson regression with penalized weighted score function J Jia, F Xie, L Xu | 16 | 2019 |
| Square‐Root LASSO for High‐Dimensional Sparse Linear Systems with Weakly Dependent Errors F Xie, Z Xiao Journal of Time Series Analysis 39 (2), 212-238, 2018 | 5 | 2018 |
| Lasso for sparse linear regression with exponentially β-mixing errors F Xie, L Xu, Y Yang Statistics & Probability Letters 125, 64-70, 2017 | 5 | 2017 |
| Tuning-free ridge estimators for high-dimensional generalized linear models ST Huang, F Xie, J Lederer Computational Statistics & Data Analysis 159, 107205, 2021 | 4 | 2021 |
| Aggregating knockoffs for false discovery rate control with an application to gut microbiome data F Xie, J Lederer Entropy 23 (2), 230, 2021 | 4 | 2021 |
| Consistency of ℓ1 penalized negative binomial regressions F Xie, Z Xiao Statistics & Probability Letters 165, 108816, 2020 | 4 | 2020 |
| Aggregated false discovery rate control F Xie, J Lederer arXiv preprint arXiv:1907.03807, 2019 | 2 | 2019 |
| Statistical Guarantees for Approximate Stationary Points of Simple Neural Networks M Taheri, F Xie, J Lederer arXiv preprint arXiv:2205.04491, 2022 | 1 | 2022 |
| Distribution Estimation of Contaminated Data via DNN-based MoM-GANs F Xie, L Xu, Q Yao, H Zhang arXiv preprint arXiv:2212.13741, 2022 | | 2022 |
| Estimating the Penalty Level of -minimization via Two Gaussian Approximation Methods F Xie arXiv preprint arXiv:2002.07433, 2020 | | 2020 |
Johannes LedererProfessor of Data-Driven Methods, University of HamburgVerified email at uni-hamburg.de
