Laurent Zwald

Statistics and Probability · 2004–2012

A researcher in the Science corpus: 4 papers; trusts 31 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 30 citations into it; #3,157 of 12,932 by trust here, #4,650 by citations
• Artificial Intelligence — 15 citations into it
• Statistical Learning Theory — 15 citations into it
• Control and Systems Engineering — 9 citations into it; #5,701 of 8,257 by trust here, #7,501 by citations
• Computational Mechanics — 6 citations into it; #2,448 of 10,001 by trust here, #4,450 by citations
• Optimization & Training — 6 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it; #15,339 of 21,575 by trust here, #20,756 by citations
• Management Science and Operations Research — 5 citations into it

Whom Laurent Zwald trusts overall

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

1. Hui Zou
2. Robert Tibshirani
3. Hansheng Wang
4. Jianqing Fan
5. Grace Wahba
6. Runze Li
7. Vladimir Naumovich Vapnik
8. Trevor J. Hastie
9. Bernhard Schölkopf
10. Yuhai Wu

Who trusts Laurent Zwald overall

1. Chengzhou Tang
2. Francis R. Bach
3. Guillaume Stempfel
4. Chaoqiang Zhao
5. Iro Laina
6. Zaïd Harchaoui
7. Ping Tan
8. Elhadi M. Shakshuki
9. Liva Ralaivola
10. Christian Rupprecht

Papers from Laurent Zwald's perspective

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

1. Regression Shrinkage and Selection via the Lasso
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Estimating the Dimension of a Model
7. Model selection and estimation in regression with grouped variables
8. Addendum: Regularization and variable selection via the elastic net
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet: A large-scale hierarchical image database

Their papers

• Statistical properties of kernel principal component analysis (2004) — 172 citations
• The BerHu penalty and the grouped effect (2012) — 92 citations
• Finite-Dimensional Projection for Classification and Statistical Learning (2008) — 595 citations
• Kernel Projection Machine: a New Tool for Pattern Recognition (2004) — 39 citations