Chenlei Leng

Orcid: 0000-0001-5703-9617

According to our database1, Chenlei Leng authored at least 20 papers between 2008 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Impact of geographic diversity on citation of collaborative research.
Quant. Sci. Stud., 2023

An Annotated Graph Model with Differential Degree Heterogeneity for Directed Networks.
J. Mach. Learn. Res., 2023

2022
Two-mode Networks: Inference with as Many Parameters as Actors and Differential Privacy.
J. Mach. Learn. Res., 2022

2019
Provable Subspace Clustering: When LRR Meets SSC.
IEEE Trans. Inf. Theory, 2019

2018
A Direct Approach for Sparse Quadratic Discriminant Analysis.
J. Mach. Learn. Res., 2018

2016
Sparse estimation of high-dimensional correlation matrices.
Comput. Stat. Data Anal., 2016

DECOrrelated feature space partitioning for distributed sparse regression.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

No penalty no tears: Least squares in high-dimensional linear models.
Proceedings of the 33nd International Conference on Machine Learning, 2016

2015
On the consistency theory of high dimensional variable screening.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014
Smoothing combined estimating equations in quantile regression for longitudinal data.
Stat. Comput., 2014

Convex Optimization Procedure for Clustering: Theoretical Revisit.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2012
The predictive Lasso.
Stat. Comput., 2012

Variational approximation for heteroscedastic linear models and matching pursuit algorithms.
Stat. Comput., 2012

Robust Multi-task Regression with Grossly Corrupted Observations.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Gradient-based kernel method for feature extraction and variable selection.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011
Gradient-based kernel dimension reduction for supervised learning
CoRR, 2011

2010
Rank-based variable selection with censored data.
Stat. Comput., 2010

Bayesian projection approaches to variable selection in generalized linear models.
Comput. Stat. Data Anal., 2010

2008
A note on adaptive group lasso.
Comput. Stat. Data Anal., 2008

Sparse optimal scoring for multiclass cancer diagnosis and biomarker detection using microarray data.
Comput. Biol. Chem., 2008


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