Jiaming Zeng

Sociology and Political Science · 2015

A researcher in the Science corpus: 1 paper; trusts 37 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

• Sociology and Political Science — 29 citations into it
• Statistics and Probability — 21 citations into it
• Artificial Intelligence — 20 citations into it; #10,342 of 35,345 by trust here, #12,244 by citations
• Clinical Psychology — 18 citations into it
• Statistical Learning Theory — 7 citations into it
• Evaluation & Benchmarks — 5 citations into it
• Information Systems — 5 citations into it
• Safety, Robustness & Interpretability — 5 citations into it; #695 of 2,251 by trust here, #1,078 by citations

Whom Jiaming Zeng trusts overall

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

1. Richard A. Berk
2. Jerome H. Friedman
3. Berk Ustun
4. Leo Breiman
5. Robert Tibshirani
6. Cynthia Rudin
7. Trevor J. Hastie
8. Niko Speybroeck
9. A. Bhati
10. Greg Ridgeway

Who trusts Jiaming Zeng overall

1. Cynthia Rudin
2. Berk Ustun
3. John Danaher
4. Philip Adler
5. Julia Dressel
6. Tong Wang
7. Danqing Pan
8. Hassan Rafique
9. Ashraf Abdul
10. Harmanpreet Kaur

Papers from Jiaming Zeng's perspective

Ordered by how strongly the researchers Jiaming Zeng 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. Greedy function approximation: A gradient boosting machine.
5. A decision-theoretic generalization of on-line learning and an application to boosting
6. Stochastic gradient boosting
7. Classification and regression trees
8. The Nature of Statistical Learning Theory
9. ImageNet classification with deep convolutional neural networks
10. The Elements of Statistical Learning

Their papers

• Interpretable classification models for recidivism prediction (2015) — 270 citations