Hosik Choi

Statistics and Probability · 2008–2018

A researcher in the Science corpus: 2 papers; trusts 30 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 25 citations into it; #4,437 of 12,932 by trust here, #6,853 by citations
• Artificial Intelligence — 8 citations into it
• Computational Mechanics — 5 citations into it; #3,109 of 10,001 by trust here, #6,041 by citations
• Control and Systems Engineering — 5 citations into it
• Optimization & Training — 5 citations into it

Whom Hosik Choi trusts overall

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

1. Jianqing Fan
2. Robert Tibshirani
3. Hui Zou
4. Alan L. Yuille
5. Eitan Greenshtein
6. Runze Li
7. Nicolai Meinshausen
8. Jerome H. Friedman
9. Peng Zhao
10. Keith Knight

Who trusts Hosik Choi overall

1. Cun-Hui Zhang
2. Tao Hu
3. Kean Ming Tan
4. Runze Li
5. Lina Liao
6. Dehan Kong
7. Shenmin Zhang

Papers from Hosik Choi's perspective

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

1. Regression Shrinkage and Selection via the Lasso
2. Asymptotics for lasso-type estimators
3. ImageNet classification with deep convolutional neural networks
4. High-dimensional graphs and variable selection with the Lasso
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Addendum: Regularization and variable selection via the elastic net
7. Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
8. Sure independence screening for ultrahigh dimensional feature space
9. Gradient-based learning applied to document recognition
10. On Model Selection Consistency of Lasso

Their papers

• Smoothly Clipped Absolute Deviation on High Dimensions (2008) — 277 citations
• Penalized expectile regression: an alternative to penalized quantile regression (2018) — 51 citations