Jerome H. Friedman

Stanford University

MathematicsPhysics and Astronomy

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 5 papers. Top paper: “Greedy function approximation: A gradient boosting machine.”.

Greedy function approximation: A gradient boosting machine.

The Annals of Statistics(2001)10.1214/aos/1013203451

N/A

1.5DataRank · unranked

28192 citations

Jerome H. Friedman

Sparse inverse covariance estimation with the graphical lasso

Biostatistics(2007)10.1093/biostatistics/kxm045

N/A

1.3DataRank · unranked

6489 citations

Trevor Hastie, Robert Tibshirani, Jerome H. Friedman, Jerome Friedman

Classification and Regression Trees.

Journal of the American Statistical Association(1986)10.2307/2288003

N/A

0.406DataRank · unranked

14 citations

Leo Breiman, Jerome H. Friedman, Richard A. Olshen, Charles J. Stone, John Van Ryzin

Representational Gradient Boosting: Backpropagation in the Space of Functions

IEEE Transactions on Pattern Analysis and Machine Intelligence(2021)10.1109/tpami.2021.3137715

N/A

0DataRank · unranked

7 citations

Jerome H. Friedman, Fei Jiang, Efstathios D. Gennatas, Gilmer Valdés

Principal component‐guided sparse regression

Canadian Journal of Statistics(2021)10.1002/cjs.11617

N/A

0DataRank · unranked

5 citations

Jerome H. Friedman, Robert Tibshirani, J. Kenneth Tay