Weidong Ma

Artificial Intelligence · 2017

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

Subfields

• Artificial Intelligence — 6 citations into it

Whom Weidong Ma trusts overall

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

1. Jerome H. Friedman

Papers from Weidong Ma's perspective

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

1. Greedy function approximation: A gradient boosting machine.
2. Stochastic gradient boosting
3. Scikit-learn: Machine Learning in Python
4. XGBoost: A Scalable Tree Boosting System
5. Robust LogitBoost and Adaptive Base Class (ABC) LogitBoost
6. Logistic Regression, AdaBoost and Bregman Distances (Machine-mediated learning)
7. Parallel boosted regression trees for web search ranking
8. McRank: Learning to Rank Using Multiple Classification and Gradient Boosting
9. Predicting clicks: estimating the click-through rate for new ads (The Web Conference)
10. Introducing LETOR 4.0 Datasets

Their papers

• LightGBM: A Highly Efficient Gradient Boosting Decision Tree (2017) — 15,550 citations