Sébastien Martin
Artificial Intelligence · 2019
A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 21 citations into it
- Statistics and Probability — 5 citations into it
Whom Sébastien Martin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Sébastien Martin's perspective
Ordered by how strongly the researchers Sébastien Martin trusts endorse each paper. Same corpus, a different order for every researcher.
- Regression Shrinkage and Selection via the Lasso
- The Elements of Statistical Learning
- Random Forests
- 双対平坦空間におけるLeast Angle Regressionと情報量規準
- Association for Computational Linguistics " Why Should I Trust You? " Explaining the Predictions of Any Classifier
- Towards A Rigorous Science of Interpretable Machine Learning
- The mythos of model interpretability
- Best Subset Selection via a Modern Optimization Lens
- Interpretable classifiers using rules and Bayesian analysis: Building a better stroke prediction model
- Model compression
Their papers
- The Price of Interpretability (2019) — 39 citations