| Computational Limits of A Distributed Algorithm For Smoothing Spline Z Shang, G Cheng Journal of Machine Learning Research 18, 1-37, 2017 | 80* | 2017 |
| Local and global asymptotic inference in smoothing spline models Z Shang, G Cheng Annals of Statistics 41 (5), 2608-2638, 2013 | 66 | 2013 |
| Nonparametric inference in generalized functional linear models Z Shang, G Cheng Annals of Statistics 43 (4), 1742-1773, 2015 | 57 | 2015 |
| Identification and estimation in panel models with overspecified number of groups R Liu, Z Shang, Y Zhang, Q Zhou Journal of Econometrics 215 (2), 574-590, 2020 | 44 | 2020 |
| Testing community structure for hypergraphs M Yuan, R Liu, Y Feng, Z Shang The Annals of Statistics 50 (1), 147-169, 2022 | 40* | 2022 |
| Joint asymptotics for semi-nonparametric regression models with partially linear structure G Cheng, Z Shang Annals of Statistics 43 (3), 1351-1390, 2015 | 38 | 2015 |
| Consistency of Bayesian linear model selection with a growing number of parameters Z Shang, MK Clayton Journal of Statistical Planning and Inference 141 (11), 3463-3474, 2011 | 33 | 2011 |
| Variance change point detection under a smoothly-changing mean trend with application to liver procurement Z Gao, Z Shang, P Du, JL Robertson Journal of the American Statistical Association, 2019 | 32 | 2019 |
| On deep instrumental variables estimate R Liu, Z Shang, G Cheng arXiv preprint arXiv:2004.14954, 2020 | 29 | 2020 |
| New aspects of Bregman divergence in regression and classification with parametric and nonparametric estimation C Zhang, Y Jiang, Z Shang Canadian journal of statistics 37 (1), 119-139, 2009 | 29 | 2009 |
| Optimal tuning for divide-and-conquer kernel ridge regression with massive data G Xu, Z Shang, G Cheng The Thirty-fifth International Conference on Machine Learning …, 2018 | 27 | 2018 |
| Optimal nonparametric inference via deep neural network R Liu, B Boukai, Z Shang Journal of Mathematical Analysis and Applications 505 (2), 125561, 2022 | 21 | 2022 |
| Sharp rate of convergence for deep neural network classifiers under the teacher-student setting T Hu, Z Shang, G Cheng arXiv preprint arXiv:2001.06892, 2020 | 21 | 2020 |
| Estimation of the mean function of functional data via deep neural networks S Wang, G Cao, Z Shang, Alzheimer's Disease Neuroimaging Initiative Stat 10 (1), e393, 2021 | 20 | 2021 |
| Distributed generalized cross-validation for divide-and-conquer kernel ridge regression and its asymptotic optimality G Xu, Z Shang, G Cheng Journal of computational and graphical statistics 28 (4), 891-908, 2019 | 20 | 2019 |
| Nonparametric Bayesian aggregation for massive data Z Shang, B Hao, G Cheng Journal of machine learning research 20 (140), 1-81, 2019 | 20* | 2019 |
| Non-asymptotic analysis for nonparametric testing Y Yang, Z Shang, G Cheng Conference on Learning Theory, 3709-3755, 2020 | 19* | 2020 |
| Sparse and efficient estimation for partial spline models with increasing dimension G Cheng, HH Zhang, Z Shang Annals of the Institute of Statistical Mathematics 67 (1), 93-127, 2015 | 19 | 2015 |
| Nonparametric distributed learning under general designs M Liu, Z Shang, G Cheng Electronic Journal of Statistics 14 (2), 3070-3102, 2020 | 18* | 2020 |
| Convergence rate and Bahadur type representation of general smoothing spline M-estimates Z Shang Electronic Journal of Statistics 4, 1411-1442, 2010 | 16 | 2010 |
Ruiqi LiuTexas Tech University在 ttu.edu 的电子邮件经过验证
