Mengjie Chen
Statistics and Probability · with Gao · 2015
A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 28 citations into it; #10,515 of 12,932 by trust here, #7,914 by citations
- Computational Mechanics — 14 citations into it; #8,083 of 10,001 by trust here, #6,877 by citations
- Signal Processing — 10 citations into it
- Artificial Intelligence — 9 citations into it
- Statistical Learning Theory — 6 citations into it
Whom Mengjie Chen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Peter J. Bickel
- Elizaveta Levina
- Fang Han
- Tommaso Cai
- Zongming Ma
- Han Liu
- Roman Vershynin
- Pascal Massart
- Iain M. Johnstone
- Clifford Lam
Who trusts Mengjie Chen overall
- Chao Gao
- Dong Yin
- Gábor Lugosi
- Sivaraman Balakrishnan
- Tommaso Cai
- Adarsh Prasad
- Yudong Chen
- Shahar Mendelson
- Kannan Ramchandran
- Clifford Lam
Papers from Mengjie Chen's perspective
Ordered by how strongly the researchers Mengjie Chen trusts endorse each paper. Same corpus, a different order for every researcher.
- Regression Shrinkage and Selection via the Lasso
- On Consistency and Sparsity for Principal Components Analysis in High Dimensions (Journal of the American Statistical Association)
- Regularized estimation of large covariance matrices
- Sparsistency and Rates of Convergence in Large Covariance Matrix Estimation (Annals of Statistics)
- Covariance regularization by thresholding
- Sparse Principal Component Analysis and Iterative Thresholding
- Sparse Principal Component Analysis
- Introduction to the non-asymptotic analysis of random matrices
- PATHWISE COORDINATE OPTIMIZATION
- Model selection and estimation in the Gaussian graphical model
Their papers
- Robust covariance and scatter matrix estimation under Huber’s contamination model (2015) — 201 citations
- Robust Covariance Matrix Estimation via Matrix Depth (2015) — 29 citations