Rina Friedberg

Statistics and Probability · 2018

A researcher in the Science corpus: 1 paper; trusts 28 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 34 citations into it; #11,380 of 12,932 by trust here, #12,077 by citations
• Artificial Intelligence — 19 citations into it
• Statistical Learning Theory — 12 citations into it
• Causal Inference & Discovery — 7 citations into it
• Probabilistic & Bayesian Methods — 6 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Rina Friedberg trusts overall

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

1. Jerome H. Friedman
2. Robert Tibshirani
3. Stefan Wager
4. Trevor J. Hastie
5. Susan Athey
6. Guido W. Imbens
7. William S. Cleveland
8. Bradley Efron
9. Jianqing Fan
10. Nicolai Meinshausen

Who trusts Rina Friedberg overall

1. Susan Athey
2. Guido W. Imbens

Papers from Rina Friedberg's perspective

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

1. Regression Shrinkage and Selection via the Lasso
2. Random Forests
3. ImageNet classification with deep convolutional neural networks
4. Bagging Predictors
5. The Elements of Statistical Learning
6. Greedy function approximation: A gradient boosting machine.
7. The Nature of Statistical Learning Theory
8. Regularization Paths for Generalized Linear Models via Coordinate Descent
9. Consistent Nonparametric Regression
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Local Linear Forests (2018) — 109 citations