← Authors

Chenlei Leng

11 papers · 2012–2025 · 4 conferences · across top CS/AI conferences

Achievements

πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (12) 🧭 Keyword Pioneer 🌍 Conference Polyglot (4) πŸƒ Academic Marathon (13) 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (15) πŸ† Keyword Champion πŸ”₯ Unstoppable (5) πŸ’Ž Century Club (11) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (63)

Conferences

NIPS (5) JMLR (3) ICML (2) AISTATS (1)

Top co-authors

Xiangyu Wang (4) Huan Xu (3) Binyan Jiang (2) David B. Dunson (2) David B Dunson (2) Yu-Xiang Wang (1) Stefan Stein (1) Shuicheng Yan (1) David Dunson (1) Xinyuan Fan (1)

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