尚作峰 (Zuofeng Shang)
尚作峰 (Zuofeng Shang)
Vahvistettu sähköpostiosoite verkkotunnuksessa njit.edu
Nimike
Viittaukset
Viittaukset
Vuosi
Computational Limits of A Distributed Algorithm For Smoothing Spline
Z Shang, G Cheng
Journal of Machine Learning Research 18, 1-37, 2017
50*2017
Local and global asymptotic inference in smoothing spline models
Z Shang, G Cheng
The Annals of Statistics 41 (5), 2608-2638, 2013
382013
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
242011
Joint asymptotics for semi-nonparametric regression models with partially linear structure
G Cheng, Z Shang
Annals of Statistics 43 (3), 1351-1390, 2015
212015
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
212009
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
172015
Nonparametric inference in generalized functional linear models
Z Shang, G Cheng
The Annals of Statistics 43 (4), 1742-1773, 2015
162015
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
132018
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
122020
Nonparametric Bayesian Aggregation for Massive Data.
Z Shang, B Hao, G Cheng
Journal of machine learning research 20 (140), 1-81, 2019
11*2019
Non-asymptotic Analysis for Nonparametric Testing
Y Yang, Z Shang, G Cheng
Conference on Learning Theory, 3709-3755, 2020
9*2020
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, 2018
92018
Nonparametric Testing under Randomized Sketching
M Liu, Z Shang, Y Yang, G Cheng
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
8*2021
Convergence rate and Bahadur type representation of general smoothing spline M-estimates
Z Shang
Electronic Journal of Statistics 4, 1411-1442, 2010
82010
Vector sampling expansions in shift invariant subspaces
Z Shang, W Sun, X Zhou
Journal of mathematical analysis and applications 325 (2), 898-919, 2007
82007
Optimal nonparametric inference via deep neural network
R Liu, B Boukai, Z Shang
arXiv preprint arXiv:1902.01687, 2019
72019
Dual generators for weighted irregular wavelet frames and reconstruction error
Z Shang, X Zhou
Applied and Computational Harmonic Analysis 22 (3), 356-367, 2007
72007
Nonparametric distributed learning under general designs
M Liu, Z Shang, G Cheng
Electronic Journal of Statistics 14 (2), 3070-3102, 2020
6*2020
Testing community structures for hypergraphs
M Yuan, R Liu, Y Feng, Z Shang
arXiv preprint arXiv:1810.04617, 2018
62018
Sharp theoretical analysis for nonparametric testing under random projection
M Liu, Z Shang, G Cheng
Conference on Learning Theory, 2175-2209, 2019
52019
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Artikkelit 1–20