Chenlei Leng

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 10

Top Topics

Quadratic Discriminant Analysis

Sparse Regression

Top Venues

J. Mach. Learn. Res.

IEEE Trans. Inf. Theory

Publications

Cian Naik, Cassidy R. Sugimoto, Vincent Larivière, Chenlei Leng, Weisi Guo
Impact of geographic diversity on citation of collaborative research. Quant. Sci. Stud. 4 (2) (2023)
Stefan Stein, Chenlei Leng
An Annotated Graph Model with Differential Degree Heterogeneity for Directed Networks. J. Mach. Learn. Res. 24 (2023)
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 (2022)
Cian Naik, Cassidy R. Sugimoto, Vincent Larivière, Chenlei Leng, Weisi Guo
Impact of Geographic Diversity on Citation of Collaborative Research. CoRR (2022)
Yu-Xiang Wang, Huan Xu, Chenlei Leng
Provable Subspace Clustering: When LRR Meets SSC. IEEE Trans. Inf. Theory 65 (9) (2019)
Binyan Jiang, Xiangyu Wang, Chenlei Leng
A Direct Approach for Sparse Quadratic Discriminant Analysis. J. Mach. Learn. Res. 19 (2018)
Xiangyu Wang, David B. Dunson, Chenlei Leng
No penalty no tears: Least squares in high-dimensional linear models. ICML (2016)
Xiangyu Wang, David B. Dunson, Chenlei Leng
DECOrrelated feature space partitioning for distributed sparse regression. CoRR (2016)
Xiangyu Wang, David B. Dunson, Chenlei Leng
DECOrrelated feature space partitioning for distributed sparse regression. NIPS (2016)
Ying Cui, Chenlei Leng, Defeng Sun
Sparse estimation of high-dimensional correlation matrices. Comput. Stat. Data Anal. 93 (2016)
Xiangyu Wang, David B. Dunson, Chenlei Leng
No penalty no tears: Least squares in high-dimensional linear models. CoRR (2015)
Xiangyu Wang, Chenlei Leng, David B. Dunson
On the consistency theory of high dimensional variable screening. NIPS (2015)
Xiangyu Wang, Chenlei Leng, David B. Dunson
On the consistency theory of high dimensional variable screening. CoRR (2015)
Changbo Zhu, Huan Xu, Chenlei Leng, Shuicheng Yan
Convex Optimization Procedure for Clustering: Theoretical Revisit. NIPS (2014)
Chenlei Leng, Weiping Zhang
Smoothing combined estimating equations in quantile regression for longitudinal data. Stat. Comput. 24 (1) (2014)
Yu-Xiang Wang, Huan Xu, Chenlei Leng
Provable Subspace Clustering: When LRR meets SSC. NIPS (2013)
Huan Xu, Chenlei Leng
Robust Multi-task Regression with Grossly Corrupted Observations. AISTATS (2012)
David J. Nott, Minh-Ngoc Tran, Chenlei Leng
Variational approximation for heteroscedastic linear models and matching pursuit algorithms. Stat. Comput. 22 (2) (2012)
Kenji Fukumizu, Chenlei Leng
Gradient-based kernel method for feature extraction and variable selection. NIPS (2012)
Minh-Ngoc Tran, David J. Nott, Chenlei Leng
The predictive Lasso. Stat. Comput. 22 (5) (2012)
Kenji Fukumizu, Chenlei Leng
Gradient-based kernel dimension reduction for supervised learning CoRR (2011)
Jinfeng Xu, Chenlei Leng, Zhiliang Ying
Rank-based variable selection with censored data. Stat. Comput. 20 (2) (2010)
David J. Nott, Chenlei Leng
Bayesian projection approaches to variable selection in generalized linear models. Comput. Stat. Data Anal. 54 (12) (2010)
Chenlei Leng
Sparse optimal scoring for multiclass cancer diagnosis and biomarker detection using microarray data. Comput. Biol. Chem. 32 (6) (2008)
Hansheng Wang, Chenlei Leng
A note on adaptive group lasso. Comput. Stat. Data Anal. 52 (12) (2008)