Cheolwoo Park

Statistics and Probability · 2011–2018

A researcher in the Science corpus: 2 papers; trusts 29 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 30 citations into it
• Artificial Intelligence — 9 citations into it
• Optimization & Training — 6 citations into it
• Control and Systems Engineering — 5 citations into it
• Management Science and Operations Research — 5 citations into it

Whom Cheolwoo Park trusts overall

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

1. Hui Zou
2. Robert Tibshirani
3. Jianqing Fan
4. Runze Li
5. Francis R. Bach
6. Ming Yuan
7. Jian Huang
8. Bradley Efron
9. Jerome H. Friedman
10. Trevor J. Hastie

Papers from Cheolwoo Park's perspective

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

1. Regression Shrinkage and Selection via the Lasso
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Model selection and estimation in regression with grouped variables
5. Gradient-based learning applied to document recognition
6. Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. Long Short-Term Memory
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Penalized expectile regression: an alternative to penalized quantile regression (2018) — 51 citations
• Bridge regression: Adaptivity and group selection (2011) — 57 citations