Erwan Scornet

Publications

Pré-publication, Document de travail (3)

What Is a Good Imputation Under MAR Missingness? Jeffrey Näf,Erwan Scornet,Julie Josse 2025 Pré-publication, Document de travail hal-04521894v4
Trees, forests, and impurity-based variable importance Erwan Scornet 2021 Pré-publication, Document de travail hal-02436169v3
Impact of subsampling and tree depth on random forests Roxane Duroux,Erwan Scornet 2016 Pré-publication, Document de travail hal-01287521v3

Article dans une revue (4)

On the consistency of supervised learning with missing values Julie Josse,Jacob M. Chen,Nicolas Prost,Gaël Varoquaux,Erwan Scornet Statistical Papers, 2024, 65 (9), pp.5447-5479. ⟨10.1007/s00362-024-01550-4⟩ Article dans une revue hal-02024202v6
Random forests and kernel methods Erwan Scornet IEEE Transactions on Information Theory, 2016 Article dans une revue hal-01116158v2
A Random Forest Guided Tour Gérard Biau,Erwan Scornet Test, 2016 Article dans une revue hal-01221748v1
Consistency of random forests Erwan Scornet,Gérard Biau,Jean-Philippe Vert Annals of Statistics, 2015, 43 (4), pp.1716-1741. ⟨10.1214/15-AOS1321⟩ Article dans une revue hal-00990008v4

Communication dans un congrès (2)

What's a good imputation to predict with missing values? Marine Le Morvan,Julie Josse,Erwan Scornet,Gaël Varoquaux NeurIPS 2021 - 35th Conference on Neural Information Processing Systems, Dec 2021, Virtual, France. ⟨10.48550/arXiv.2106.00311⟩ Communication dans un congrès hal-03243931v2
NeuMiss networks: differentiable programming for supervised learning with missing values Marine Le Morvan,Julie Josse,Thomas Moreau,Erwan Scornet,Gaël Varoquaux NeurIPS 2020 - 34th Conference on Neural Information Processing Systems, Dec 2020, Vancouver / Virtual, Canada Communication dans un congrès hal-02888867v3