Timothy C. Au

Statistics and Probability · 2017

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 9 citations into it
• Artificial Intelligence — 8 citations into it
• Evaluation & Benchmarks — 5 citations into it
• Statistical Learning Theory — 5 citations into it

Whom Timothy C. Au trusts overall

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

1. Nicolai Meinshausen
2. J. Ross Quinlan
3. Gérard Biau
4. Trevor J. Hastie
5. Torsten Hothorn
6. Andy Liaw
7. Leo Breiman
8. Maytal Saar-Tsechansky
9. Stefan Wager
10. Achim Zeileis

Who trusts Timothy C. Au overall

1. Cynthia Rudin

Papers from Timothy C. Au's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Random Forests
4. Gradient-based learning applied to document recognition
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Bagging Predictors
7. Long Short-Term Memory
8. The Elements of Statistical Learning
9. Attention is All you Need (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Random Forests, Decision Trees, and Categorical Predictors: The "Absent Levels" Problem (2017) — 55 citations