Angela King
Statistics and Probability · 2015
A researcher in the Science corpus: 1 paper; trusts 29 researchers and is trusted by 14 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 35 citations into it; #3,884 of 12,932 by trust here, #4,650 by citations
- Computational Mechanics — 25 citations into it; #2,604 of 10,001 by trust here, #4,039 by citations
- Artificial Intelligence — 17 citations into it; #11,031 of 35,345 by trust here, #18,586 by citations
- Optimization & Training — 8 citations into it
- Computer Vision and Pattern Recognition — 7 citations into it
- Applied Mathematics — 6 citations into it
- Control and Systems Engineering — 6 citations into it
- Mathematical Optimization — 6 citations into it; #204 of 422 by trust here, #221 by citations
Whom Angela King trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Robert Tibshirani
- David L. Donoho
- Yurii E. Nesterov
- Dimitris J. Bertsimas
- E.J. Candes
- Jerome H. Friedman
- Thomas Blumensath
- Tong Zhang
- Hui Zou
- Cun-Hui Zhang
Who trusts Angela King overall
- Dimitris J. Bertsimas
- Velibor V. Misic
- Susan Athey
- Rahul Mazumder
- Trevor J. Hastie
- Matt Olfat
- Jack Dunn
- Claudio Gambella
- Javad Azizi
- Armin Falk
Papers from Angela King's perspective
Ordered by how strongly the researchers Angela King trusts endorse each paper. Same corpus, a different order for every researcher.
- Regression Shrinkage and Selection via the Lasso
- Asymptotics for lasso-type estimators
- High-dimensional graphs and variable selection with the Lasso
- Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
- Atomic Decomposition by Basis Pursuit
- [Least Angle Regression]: Discussion
- PATHWISE COORDINATE OPTIMIZATION
- One-step Sparse Estimates in Nonconcave Penalized Likelihood Models
- For most large underdetermined systems of linear equations the minimal 𝓁1‐norm solution is also the sparsest solution
- ImageNet classification with deep convolutional neural networks
Their papers
- Best Subset Selection via a Modern Optimization Lens (2015) — 758 citations