Xin-Hong Zhang

Encyclopedia of Machine Learning · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Xin-Hong Zhang trusts overall

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

  1. Eric R. Ziegel
  2. Martin J. Wainwright

Who trusts Xin-Hong Zhang overall

  1. Giuseppe Papari
  2. Dan Kushnir
  3. Honglak Lee

Papers from Xin-Hong Zhang's perspective

Ordered by how strongly the researchers Xin-Hong Zhang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Asymptotics for lasso-type estimators
  2. On the conditions used to prove oracle results for the Lasso
  3. Controlling the false discovery rate: a practical and powerful approach to multiple testing
  4. 双対平坦空間におけるLeast Angle Regressionと情報量規準
  5. Regression Shrinkage and Selection via the Lasso
  6. Economic inequality and burden-sharing in the provision of local environmental quality
  7. Spline Models for Observational Data
  8. The Dantzig selector: Statistical estimation when P is much larger than n
  9. Probability in Banach Spaces: Isoperimetry and Processes
  10. Model selection and estimation in regression with grouped variables

Their papers