Yiyuan She
Statistics and Probability · 2010–2014
A researcher in the Science corpus: 5 papers; trusts 35 researchers and is trusted by 17 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 61 citations into it; #3,049 of 12,932 by trust here, #3,330 by citations
- Computational Mechanics — 26 citations into it
- Artificial Intelligence — 18 citations into it; #17,020 of 35,345 by trust here, #22,463 by citations
- Statistical Learning Theory — 17 citations into it
- Control and Systems Engineering — 11 citations into it
- Optimization & Training — 10 citations into it
- Computer Vision and Pattern Recognition — 8 citations into it
- Management Science and Operations Research — 6 citations into it
Whom Yiyuan She trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Robert Tibshirani
- Trevor J. Hastie
- Alexandre B. Tsybakov
- Peter J. Rousseeuw
- Eric R. Ziegel
- Yurii E. Nesterov
- Bradley Efron
- Karim Lounici
- Peter J. Bickel
- Ming Yuan
Who trusts Yiyuan She overall
- Aaditya Ramdas
- Chong Wang
- Chun Yu
- Jundong Li
- Robert Tibshirani
- Florentina Bunea
- Marten H. Wegkamp
- David M. Blei
- Weixin Yao
- Vladimir Koltchinskii
Papers from Yiyuan She's perspective
Ordered by how strongly the researchers Yiyuan She 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
- On Model Selection Consistency of Lasso
- © Institute of Mathematical Statistics, 2004 LEAST ANGLE REGRESSION
- Atomic Decomposition by Basis Pursuit
- Ideal spatial adaptation by wavelet shrinkage
- Addendum: Regularization and variable selection via the elastic net
- High-dimensional graphs and variable selection with the Lasso
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
Their papers
- Optimal selection of reduced rank estimators of high-dimensional matrices (2010) — 262 citations
- Outlier Detection Using Nonconvex Penalized Regression (2010) — 338 citations
- Penalized Least Squares Regression Methods and Applications to Neuroimaging (2010) — 163 citations
- Group Regularized Estimation Under Structural Hierarchy (2014) — 53 citations
- Joint variable and rank selection for parsimonious estimation of high-dimensional matrices (2011) — 123 citations