Li-Yang Tan

Artificial Intelligence · with Blanc · 2020

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 5 citations into it

Whom Li-Yang Tan trusts overall

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

1. Adam Tauman Kalai
2. J. Ross Quinlan

Papers from Li-Yang Tan's perspective

Ordered by how strongly the researchers Li-Yang Tan trusts endorse each paper. Same corpus, a different order for every researcher.

1. Weakly learning DNF and characterizing statistical query learning using Fourier analysis
2. Agnostically learning halfspaces (IEEE Annual Symposium on Foundations of Computer Science)
3. C4.5: Programs for Machine Learning
4. Agnostically learning decision trees
5. Random Forests
6. Induction of decision trees
7. XGBoost: A Scalable Tree Boosting System
8. The Strength of Weak Learnability
9. A theory of the learnable
10. Toward efficient agnostic learning

Their papers

• Provable guarantees for decision tree induction: the agnostic setting (2020) — 12 citations