Umer Khan

Statistics and Probability · 2015

A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 15 citations into it; #8,841 of 12,932 by trust here, #7,508 by citations
• Artificial Intelligence — 8 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it
• Optimization & Training — 6 citations into it
• Control and Systems Engineering — 5 citations into it
• Statistical Learning Theory — 5 citations into it

Whom Umer Khan trusts overall

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

1. Jorge Nocedal
2. Trevor J. Hastie
3. Robert Tibshirani
4. Susan A. Murphy
5. Vladimir Naumovich Vapnik
6. Yufan Zhao
7. Alain Rakotomamonjy
8. Ingo Steinwart
9. Hui Zou
10. Peter L. Bartlett

Who trusts Umer Khan overall

1. Susan Athey
2. Stefan Wager

Papers from Umer Khan's perspective

Ordered by how strongly the researchers Umer Khan 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. Gradient-based learning applied to document recognition
5. Random Forests
6. Statistical learning theory
7. A Probabilistic Theory of Pattern Recognition
8. Addendum: Regularization and variable selection via the elastic net
9. Learning Multiple Layers of Features from Tiny Images
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Residual Weighted Learning for Estimating Individualized Treatment Rules (2015) — 235 citations