Siyu Zhou

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it
• Statistics and Probability — 9 citations into it
• Statistical Learning Theory — 5 citations into it

Whom Siyu Zhou trusts overall

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

1. Trevor J. Hastie
2. Robert Tibshirani
3. Leo Breiman
4. Niko Speybroeck
5. Gérard Biau
6. Lucas K. Mentch
7. M. Delgado
8. Jing Lei
9. Stefan Wager
10. Luc Devroye

Papers from Siyu Zhou's perspective

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

1. Regression Shrinkage and Selection via the Lasso
2. Bagging Predictors
3. Random Forests
4. Ridge Regression: Biased Estimation for Nonorthogonal Problems
5. Reconciling modern machine-learning practice and the classical bias–variance trade-off
6. Surprises in High-Dimensional Ridgeless Least Squares Interpolation
7. Classification and regression trees
8. The Elements of Statistical Learning
9. Estimation and Inference of Heterogeneous Treatment Effects using Random Forests
10. Consistency of Random Forests

Their papers

• Getting Better from Worse: Augmented Bagging and a Cautionary Tale of Variable Importance (2020) — 20 citations