Jane Lange

Artificial Intelligence · 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 Jane Lange trusts overall

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

1. Adam Tauman Kalai
2. J. Ross Quinlan
3. Parikshit Gopalan
4. Adam R. Klivans

Papers from Jane Lange's perspective

Ordered by how strongly the researchers Jane Lange 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. XGBoost: A Scalable Tree Boosting System
7. Induction of decision trees
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