Sullivan Hué

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sullivan Hué trusts overall

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

  1. Hui Zou
  2. Trevor J. Hastie
  3. David Ruppert
  4. Peter Buhlmann
  5. Thomas G. Dietterich
  6. Houtao Deng
  7. Jerome H. Friedman
  8. Robert Tibshirani
  9. Leo Breiman
  10. Francis X. Diebold

Papers from Sullivan Hué's perspective

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

  1. Regression Shrinkage and Selection via the Lasso
  2. Bagging Predictors
  3. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
  4. Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
  5. Addendum: Regularization and variable selection via the elastic net
  6. Random Forests
  7. The Adaptive Lasso and Its Oracle Properties
  8. Regularization Paths for Generalized Linear Models via Coordinate Descent
  9. Ridge Regression: Biased Estimation for Nonorthogonal Problems
  10. Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms

Their papers