Lukas Meier

Statistics and Probability · 2008–2014

A researcher in the Science corpus: 5 papers; trusts 72 researchers and is trusted by 126 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 120 citations into it; #362 of 12,932 by trust here, #440 by citations
• Artificial Intelligence — 48 citations into it; #2,347 of 35,345 by trust here, #4,393 by citations
• Statistical Learning Theory — 27 citations into it; #352 of 1,038 by trust here, #396 by citations
• Computational Mechanics — 24 citations into it; #1,493 of 10,001 by trust here, #2,070 by citations
• Control and Systems Engineering — 20 citations into it
• Optimization & Training — 16 citations into it; #357 of 2,601 by trust here, #575 by citations
• Management Science and Operations Research — 15 citations into it
• Molecular Biology — 14 citations into it; #5,664 of 17,773 by trust here, #14,176 by citations

Whom Lukas Meier trusts overall

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

1. Nicolai Meinshausen
2. Peter Buhlmann
3. Robert Tibshirani
4. Hui Zou
5. Sara A. van de Geer
6. Jianqing Fan
7. Trevor J. Hastie
8. Cun-Hui Zhang
9. Yi Lin
10. Jerome H. Friedman

Who trusts Lukas Meier overall

1. Sara A. van de Geer
2. Peter Buhlmann
3. Nicolai Meinshausen
4. Paul Tseng
5. Jianqing Fan
6. Kengo Kato
7. Jun Liu
8. Trevor J. Hastie
9. Francis R. Bach
10. Karim Lounici

Papers from Lukas Meier's perspective

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

1. Regression Shrinkage and Selection via the Lasso
2. Model selection and estimation in regression with grouped variables
3. Atomic Decomposition by Basis Pursuit
4. Addendum: Regularization and variable selection via the elastic net
5. High-dimensional graphs and variable selection with the Lasso
6. Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
7. ImageNet classification with deep convolutional neural networks
8. PATHWISE COORDINATE OPTIMIZATION
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers

• The group lasso for logistic regression (2008) — 1,822 citations
• High-dimensional additive modeling (2008) — 502 citations
• p-Values for High-Dimensional Regression (2008) — 469 citations
• Least angle and ℓ1 penalized regression: A review (2008) — 310 citations
• High-Dimensional Statistics with a View Toward Applications in Biology (2014) — 323 citations