Zhao Ren

Statistics and Probability · 2013–2016

A researcher in the Science corpus: 4 papers; trusts 80 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 130 citations into it; #4,540 of 12,932 by trust here, #2,965 by citations
• Computational Mechanics — 56 citations into it; #8,084 of 10,001 by trust here, #6,877 by citations
• Artificial Intelligence — 44 citations into it
• Statistical Learning Theory — 19 citations into it
• Signal Processing — 19 citations into it; #5,836 of 7,572 by trust here, #5,086 by citations
• Applied Mathematics — 14 citations into it; #4,380 of 7,620 by trust here, #2,583 by citations
• Computer Vision and Pattern Recognition — 13 citations into it
• Mathematical Physics — 11 citations into it

Whom Zhao Ren trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Peter J. Bickel
2. Tommaso Cai
3. Cun-Hui Zhang
4. Bin Yu
5. Sara A. van de Geer
6. Iain M. Johnstone
7. Jianqing Fan
8. Zongming Ma
9. Peter Buhlmann
10. Robert Tibshirani

Who trusts Zhao Ren overall

1. Tommaso Cai
2. Jana Jankov'a
3. Rajen Dinesh Shah
4. Chao Gao
5. Sara A. van de Geer
6. Victor Chernozhukov
7. Yacine Aït-Sahalia
8. Dong Yin
9. Jan Peters
10. Peter Buhlmann

Papers from Zhao Ren's perspective

Ordered by how strongly the researchers Zhao Ren trusts endorse each paper. Same corpus, a different order for every researcher.

1. Regression Shrinkage and Selection via the Lasso
2. High-dimensional graphs and variable selection with the Lasso
3. On the distribution of the largest eigenvalue in principal components analysis
4. Model selection and estimation in the Gaussian graphical model
5. PATHWISE COORDINATE OPTIMIZATION
6. Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
7. ImageNet classification with deep convolutional neural networks
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. Model selection and estimation in regression with grouped variables
10. Regularized estimation of large covariance matrices

Their papers

• Asymptotic normality and optimalities in estimation of large Gaussian graphical models (2013) — 259 citations
• Robust covariance and scatter matrix estimation under Huber’s contamination model (2015) — 201 citations
• Estimating structured high-dimensional covariance and precision matrices: Optimal rates and adaptive estimation (2016) — 243 citations
• Robust Covariance Matrix Estimation via Matrix Depth (2015) — 29 citations