Adam Kapelner

Artificial Intelligence · 2012–2014

A researcher in the Science corpus: 5 papers; trusts 30 researchers and is trusted by 30 researchers here, as inferred from the citation graph.

Subfields

Whom Adam Kapelner trusts overall

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

  1. Jerome H. Friedman
  2. Leo Breiman
  3. Trevor J. Hastie
  4. Steven D. Levitt
  5. Joshua D. Angrist
  6. Richard A. Berk
  7. Justin Bleich
  8. Robert Tibshirani
  9. Hugh A. Chipman
  10. Tao Jiang

Who trusts Adam Kapelner overall

  1. A. Goldstein
  2. Lihua Lei
  3. Antonio R. Linero
  4. M. Delgado
  5. Gabriele Paolacci
  6. Christoph Molnar
  7. Q. Liao
  8. E.J. Candes
  9. Giuseppe Casalicchio
  10. J. Goodman

Papers from Adam Kapelner's perspective

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

  1. Random Forests
  2. Statistical learning theory
  3. Generalized Additive Models
  4. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
  5. Bagging Predictors
  6. A SIGNIFICANCE TEST FOR THE LASSO (Annals of Statistics)
  7. Regression Shrinkage and Selection via the Lasso
  8. The Nature of Statistical Learning Theory
  9. Statistical Learning Theory
  10. Valid post-selection inference

Their papers