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Chenlei Leng
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2020 – today
- 2023
- [j13]Stefan Stein, Chenlei Leng:
An Annotated Graph Model with Differential Degree Heterogeneity for Directed Networks. J. Mach. Learn. Res. 24: 119:1-119:69 (2023) - [j12]Cian Naik
, Cassidy R. Sugimoto
Impact of geographic diversity on citation of collaborative research. Quant. Sci. Stud. 4(2): 442-465 (2023) - 2022
- [j11]Qiuping Wang, Ting Yan, Binyan Jiang, Chenlei Leng:
Two-mode Networks: Inference with as Many Parameters as Actors and Differential Privacy. J. Mach. Learn. Res. 23: 292:1-292:38 (2022) - [i5]Cian Naik, Cassidy R. Sugimoto, Vincent Larivière, Chenlei Leng, Weisi Guo:
Impact of Geographic Diversity on Citation of Collaborative Research. CoRR abs/2204.11713 (2022)
2010 – 2019
- 2019
- [j10]Yu-Xiang Wang
Provable Subspace Clustering: When LRR Meets SSC. IEEE Trans. Inf. Theory 65(9): 5406-5432 (2019) - 2018
- [j9]Binyan Jiang, Xiangyu Wang, Chenlei Leng:
A Direct Approach for Sparse Quadratic Discriminant Analysis. J. Mach. Learn. Res. 19: 31:1-31:37 (2018) - 2016
- [j8]Ying Cui
Sparse estimation of high-dimensional correlation matrices. Comput. Stat. Data Anal. 93: 390-403 (2016) - [c7]Xiangyu Wang, David B. Dunson, Chenlei Leng:
No penalty no tears: Least squares in high-dimensional linear models. ICML 2016: 1814-1822 - [c6]Xiangyu Wang, David B. Dunson, Chenlei Leng:
DECOrrelated feature space partitioning for distributed sparse regression. NIPS 2016: 802-810 - [i4]Xiangyu Wang, David B. Dunson, Chenlei Leng:
DECOrrelated feature space partitioning for distributed sparse regression. CoRR abs/1602.02575 (2016) - 2015
- [c5]Xiangyu Wang, Chenlei Leng, David B. Dunson:
On the consistency theory of high dimensional variable screening. NIPS 2015: 2431-2439 - [i3]Xiangyu Wang, Chenlei Leng, David B. Dunson:
On the consistency theory of high dimensional variable screening. CoRR abs/1502.06895 (2015) - [i2]Xiangyu Wang, David B. Dunson, Chenlei Leng:
No penalty no tears: Least squares in high-dimensional linear models. CoRR abs/1506.02222 (2015) - 2014
- [j7]Chenlei Leng, Weiping Zhang:
Smoothing combined estimating equations in quantile regression for longitudinal data. Stat. Comput. 24(1): 123-136 (2014) - [c4]Changbo Zhu, Huan Xu, Chenlei Leng, Shuicheng Yan:
Convex Optimization Procedure for Clustering: Theoretical Revisit. NIPS 2014: 1619-1627 - 2013
- [c3]Yu-Xiang Wang, Huan Xu, Chenlei Leng:
Provable Subspace Clustering: When LRR meets SSC. NIPS 2013: 64-72 - 2012
- [j6]David J. Nott
Variational approximation for heteroscedastic linear models and matching pursuit algorithms. Stat. Comput. 22(2): 497-512 (2012) - [j5]Minh-Ngoc Tran, David J. Nott
The predictive Lasso. Stat. Comput. 22(5): 1069-1084 (2012) - [c2]Kenji Fukumizu, Chenlei Leng:
Gradient-based kernel method for feature extraction and variable selection. NIPS 2012: 2123-2131 - [c1]Huan Xu, Chenlei Leng:
Robust Multi-task Regression with Grossly Corrupted Observations. AISTATS 2012: 1341-1349 - 2011
- [i1]Kenji Fukumizu, Chenlei Leng:
Gradient-based kernel dimension reduction for supervised learning. CoRR abs/1109.0455 (2011) - 2010
- [j4]David J. Nott
Bayesian projection approaches to variable selection in generalized linear models. Comput. Stat. Data Anal. 54(12): 3227-3241 (2010) - [j3]Jinfeng Xu
Rank-based variable selection with censored data. Stat. Comput. 20(2): 165-176 (2010)
2000 – 2009
- 2008
- [j2]Chenlei Leng:
Sparse optimal scoring for multiclass cancer diagnosis and biomarker detection using microarray data. Comput. Biol. Chem. 32(6): 417-425 (2008) - [j1]Hansheng Wang
A note on adaptive group lasso. Comput. Stat. Data Anal. 52(12): 5277-5286 (2008)
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