Kwangmoo Koh

Statistics and Probability · 2007–2009

A researcher in the Science corpus: 3 papers; trusts 44 researchers and is trusted by 58 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 39 citations into it
• Computational Mechanics — 37 citations into it; #2,599 of 10,001 by trust here, #1,065 by citations
• Computer Vision and Pattern Recognition — 31 citations into it; #10,599 of 21,575 by trust here, #12,419 by citations
• Optimization & Training — 21 citations into it
• Artificial Intelligence — 17 citations into it
• Control and Systems Engineering — 17 citations into it
• Statistical Learning Theory — 14 citations into it
• Management Science and Operations Research — 13 citations into it

Whom Kwangmoo Koh trusts overall

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

1. Robert Tibshirani
2. Trevor J. Hastie
3. E.J. Candes
4. David L. Donoho
5. Hui Zou
6. Stephen J. Wright
7. Jerome H. Friedman
8. Ming Yuan
9. Joel A. Tropp
10. Yurii E. Nesterov

Who trusts Kwangmoo Koh overall

1. Robert Tibshirani
2. Jun Liu
3. Tony Jebara
4. Tyler B. Johnson
5. Mrinal Kalakrishnan
6. Derek Hoiem
7. John C. Duchi
8. Guo-Xun Yuan
9. Francis R. Bach
10. Suvrit Sra

Papers from Kwangmoo Koh's perspective

Ordered by how strongly the researchers Kwangmoo Koh 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Long Short-Term Memory
10. Atomic Decomposition by Basis Pursuit

Their papers

• An Interior-Point Method for Large-Scale l1-Regularized Logistic Regression (2007) — 749 citations
• 1 Trend Filtering (2009) — 658 citations
• An Interior-Point Method for Large-Scale $\ell_1$-Regularized Least Squares (2007) — 1,886 citations