Chenlei Leng
11 papers · 2012–2025 · 4 conferences · across top CS/AI conferences
Achievements
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(15)
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(5)
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(11)
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(63)
Conferences
NIPS (5)
JMLR (3)
ICML (2)
AISTATS (1)
Top co-authors
Keywords
high-dimensional statistics
(3)
sparse regression
(2)
convex optimization
(2)
variable selection
(2)
model selection
(1)
sparse representation
(1)
differential privacy
(1)
matrix factorization
(1)
robust regression
(1)
cluster analysis
(1)
parameter estimation
(1)
feature selection
(1)
feature extraction
(1)
ridge regression
(1)
sparse estimation
(1)
distributed learning
(1)
theoretical analysis
(1)
dimensionality reduction
(1)
dimension reduction
(1)
unsupervised learning
(1)
Papers
Learning Changes in Graphon Attachment Network Models
ICML 2025
An Annotated Graph Model with Differential Degree Heterogeneity for Directed Networks
JMLR 2023
Two-mode Networks: Inference with as Many Parameters as Actors and Differential Privacy
JMLR 2022
A Direct Approach for Sparse Quadratic Discriminant Analysis
JMLR 2018
DECOrrelated feature space partitioning for distributed sparse regression
NIPS 2016
No penalty no tears: Least squares in high-dimensional linear models
ICML 2016
On the consistency theory of high dimensional variable screening
NIPS 2015
Convex Optimization Procedure for Clustering: Theoretical Revisit
NIPS 2014
Provable Subspace Clustering: When LRR meets SSC
NIPS 2013
Robust Multi-task Regression with Grossly Corrupted Observations
AISTATS 2012
Gradient-based kernel method for feature extraction and variable selection
NIPS 2012