A. Goldstein

Artificial Intelligence · with Bleich · 2013

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it; #10,872 of 35,345 by trust here, #10,942 by citations
• Statistics and Probability — 10 citations into it; #3,866 of 12,932 by trust here, #2,153 by citations

Whom A. Goldstein trusts overall

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

1. Leo Breiman
2. Jerome H. Friedman
3. Trevor J. Hastie
4. Adam Kapelner
5. Tao Jiang
6. Justin Bleich
7. William N. Venables
8. Andy Liaw
9. Erik Strumbelj
10. J. Sunil Rao

Who trusts A. Goldstein overall

1. Christoph Molnar
2. Q. Liao
3. Giuseppe Casalicchio
4. Giles Hooker
5. Amina Adadi
6. Mateusz Staniak
7. Nadia Burkart
8. Xinru Wang
9. Qingyuan Zhao
10. Przemyslaw Biecek

Papers from A. Goldstein's perspective

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

1. Random Forests
2. Generalized Additive Models
3. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
4. Bagging Predictors
5. The Nature of Statistical Learning Theory
6. Statistical Modeling: The Two Cultures (with comments and a rejoinder by the author)
7. Quasi-regression for visualization and interpretation of black box functions
8. Statistical inference for exploratory data analysis and model diagnostics
9. Modern Applied Statistics with S
10. A General Method for Visualizing and Explaining Black-Box Regression Models

Their papers

• Peeking Inside the Black Box: Visualizing Statistical Learning With Plots of Individual Conditional Expectation (2013) — 1,731 citations