| Sparsity Oriented Importance Learning for High-dimensional Linear Regression C Ye, Y Yang, Y Yang Journal of the American Statistical Association 113 (524), 1-16, 2018 | 35 | 2018 |
| Combining Predictions of Auto Insurance Claims C Ye, L Zhang, M Han, Y Yu, B Zhao, Y Yang Econometrics 10 (2), 2022 | 9 | 2022 |
| High-dimensional Adaptive Minimax Sparse Estimation with Interactions C Ye, Y Yang IEEE Transactions on Information Theory 65 (9), 5367-5379, 2019 | 4 | 2019 |
| Local Kernel Ridge Regression for Scalable, Interpolating, Continuous Regression M Han, C Ye, J Phillips Transactions on Machine Learning Research, 2022 | 2 | 2022 |
| Model Selection and Estimation for High-dimensional Data Analysis C Ye | 2 | 2019 |
| Meta Clustering for Collaborative Learning C Ye, J Ding, R Ghanadan Journal of Computational and Graphical Statistics, 2022 | 1 | 2022 |
| High-dimensional Variable Screening via Conditional Martingale Difference Divergence L Fang, Q Yuan, X Yin, C Ye arXiv preprint arXiv:2206.11944, 2022 | 1 | 2022 |
| Machine learning applications in household-level demand prediction S Zhao, Y Lai, C Ye, K Lee Applied Economics Letters 31 (1), 5-11, 2024 | | 2024 |
| The ART of Transfer Learning: An Adaptive and Robust Pipeline B Wang, Y Wu, C Ye arXiv preprint arXiv:2305.00520, 2023 | | 2023 |
| Locally Adaptive and Differentiable Regression M Han, V Shankar, JM Phillips, C Ye Journal of Machine Learning for Modeling and Computing 4 (4), 2023 | | 2023 |
| Package ‘glmvsd’ Y Nan, Y Yang, Y Yang, C Ye, MY Yang | | 2015 |
Yuhong YangProfessor of Statistics, University of MinnesotaVerified email at umn.edu
