Tong Tong Wu
Statistics and Probability · 2008–2009
A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 58 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 10 citations into it; #957 of 12,932 by trust here, #1,603 by citations
- Computational Mechanics — 7 citations into it
- Optimization & Training — 6 citations into it
- Computer Vision and Pattern Recognition — 5 citations into it
Whom Tong Tong Wu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Robert Tibshirani
- Trevor J. Hastie
- William M. Waite
- Jerome H. Friedman
- Mee Young Park
- Scott Shaobing Chen
- Ingrid Daubechies
- David R. Hunter
- Yoav Benjamini
- David L. Donoho
Who trusts Tong Tong Wu overall
- Jerome H. Friedman
- Robert Tibshirani
- Yingying Fan
- Julien Mairal
- Benjamin A. Logsdon
- Patrick Breheny
- Francis R. Bach
- Jian Huang
- Shai Shalev-Shwartz
- Eric P. Xing
Papers from Tong Tong Wu's perspective
Ordered by how strongly the researchers Tong Tong Wu 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
- Addendum: Regularization and variable selection via the elastic net
- Atomic Decomposition by Basis Pursuit
- Controlling the false discovery rate: a practical and powerful approach to multiple testing
- PATHWISE COORDINATE OPTIMIZATION
- Regularization Paths for Generalized Linear Models via Coordinate Descent
- An Interior-Point Method for Large-Scale l1-Regularized Logistic Regression (Journal of machine learning research)
- The Elements of Statistical Learning
- An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
Their papers
- Coordinate descent algorithms for lasso penalized regression (2008) — 844 citations
- Genome-wide association analysis by lasso penalized logistic regression (2009) — 796 citations