Kean Ming Tan

Statistics and Probability · 2021

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 31 citations into it
• Computational Mechanics — 11 citations into it
• Artificial Intelligence — 8 citations into it
• Control and Systems Engineering — 6 citations into it
• Optimization & Training — 5 citations into it

Whom Kean Ming Tan trusts overall

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

1. Hui Zou
2. Robert Tibshirani
3. Cun-Hui Zhang
4. Tong Zhang
5. Martin J. Wainwright
6. Alexandre Belloni
7. Michel Ledoux
8. Francis R. Bach
9. Jianqing Fan
10. Po-Ling Loh

Papers from Kean Ming Tan's perspective

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

1. Regression Shrinkage and Selection via the Lasso
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• High‐dimensional quantile regression: Convolution smoothing and concave regularization (2021) — 97 citations