Vincent Q. Vu
Computational Mechanics · 2012
A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Computational Mechanics — 10 citations into it; #4,324 of 10,001 by trust here, #6,287 by citations
- Statistics and Probability — 10 citations into it; #5,963 of 12,932 by trust here, #7,165 by citations
- Signal Processing — 5 citations into it
Whom Vincent Q. Vu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Bin Yu
- Robert Tibshirani
- Ming Yuan
- Haipeng Shen
- Hui Zou
- Trevor J. Hastie
- Pascal Massart
- Daniela M. Witten
- Michel Journée
- Yi Lin
Who trusts Vincent Q. Vu overall
- Tommaso Cai
- Fang Han
- Zhao Ren
- Han Liu
- Mengjie Chen
- Jing Lei
- Yudong Chen
- Markus Reiß
- Harrison H. Zhou
- Chao Gao
Papers from Vincent Q. Vu's perspective
Ordered by how strongly the researchers Vincent Q. Vu trusts endorse each paper. Same corpus, a different order for every researcher.
- Regression Shrinkage and Selection via the Lasso
- Model selection and estimation in regression with grouped variables
- High-dimensional graphs and variable selection with the Lasso
- Sparse principal component analysis via regularized low rank matrix approximation
- Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
- Sparse Principal Component Analysis
- Addendum: Regularization and variable selection via the elastic net
- Atomic Decomposition by Basis Pursuit
- Spline Models for Observational Data
- Analysis of a complex of statistical variables into principal components.
Their papers
- MINIMAX SPARSE PRINCIPAL SUBSPACE ESTIMATION IN HIGH DIMENSIONS (2012) — 209 citations