Mohamed Hebiri

Statistics and Probability · 2008–2014

A researcher in the Science corpus: 4 papers; trusts 44 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 77 citations into it; #5,476 of 12,932 by trust here, #4,964 by citations
• Artificial Intelligence — 25 citations into it; #19,212 of 35,345 by trust here, #21,316 by citations
• Computational Mechanics — 24 citations into it; #7,364 of 10,001 by trust here, #8,947 by citations
• Statistical Learning Theory — 23 citations into it
• Optimization & Training — 18 citations into it
• Control and Systems Engineering — 14 citations into it
• Management Science and Operations Research — 10 citations into it
• Applied Mathematics — 5 citations into it

Whom Mohamed Hebiri trusts overall

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

1. Sara A. van de Geer
2. Robert Tibshirani
3. Hui Zou
4. Alexandre B. Tsybakov
5. Nicolai Meinshausen
6. Ming Yuan
7. Florentina Bunea
8. Yurii E. Nesterov
9. Bin Yu
10. Peter Buhlmann

Who trusts Mohamed Hebiri overall

1. Sara A. van de Geer
2. P. Muniain
3. Jing Lei
4. Florian Ziel
5. Martin Slawski
6. Yin Lou
7. Francis R. Bach

Papers from Mohamed Hebiri's perspective

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

1. Regression Shrinkage and Selection via the Lasso
2. Atomic Decomposition by Basis Pursuit
3. Model selection and estimation in regression with grouped variables
4. High-dimensional graphs and variable selection with the Lasso
5. Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
6. The Elements of Statistical Learning
7. © Institute of Mathematical Statistics, 2004 LEAST ANGLE REGRESSION
8. ImageNet classification with deep convolutional neural networks
9. The Adaptive Lasso and Its Oracle Properties
10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers

• Some theoretical results on the Grouped Variables Lasso (2008) — 62 citations
• The Smooth-Lasso and other ℓ1+ℓ2-penalized methods (2011) — 113 citations
• On the Prediction Performance of the Lasso (2014) — 179 citations
• How Correlations Influence Lasso Prediction (2012) — 107 citations