Beau Coker

Statistics and Probability · 2018

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 22 citations into it; #12,054 of 12,932 by trust here, #10,275 by citations
• Artificial Intelligence — 15 citations into it; #12,604 of 35,345 by trust here, #19,018 by citations
• Safety, Robustness & Interpretability — 12 citations into it; #957 of 2,251 by trust here, #1,780 by citations
• AI Ethics, Fairness & Society — 6 citations into it; #165 of 494 by trust here, #293 by citations
• Evaluation & Benchmarks — 6 citations into it
• Safety Research — 5 citations into it; #1,513 of 5,829 by trust here, #2,873 by citations

Whom Beau Coker trusts overall

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

1. Cynthia Rudin
2. Leo Breiman
3. Uri Simonsohn
4. Edward E. Leamer
5. Richard A. Berk
6. Joseph P. Simmons
7. Theja Tulabandhula
8. Marco Morucci
9. Leif D. Nelson
10. Jan Hannig

Who trusts Beau Coker overall

1. Cynthia Rudin
2. Jiayun Dong
3. Lesia Semenova
4. Bin Yu
5. Aaron Fisher
6. Aida Sharif Rohani
7. Amanda Coston

Papers from Beau Coker's perspective

Ordered by how strongly the researchers Beau Coker 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. Valid post-selection inference
5. Chervonenkis: On the uniform convergence of relative frequencies of events to their probabilities
6. Gradient-based learning applied to document recognition
7. Preserving Statistical Validity in Adaptive Data Analysis
8. XGBoost: A Scalable Tree Boosting System
9. Long Short-Term Memory
10. Statistical Modeling: The Two Cultures (with comments and a rejoinder by the author)

Their papers

• A Theory of Statistical Inference for Ensuring the Robustness of Scientific Results (2018) — 33 citations
• The age of secrecy and unfairness in recidivism prediction (2018) — 200 citations