Scholar
Erwan Scornet
Google Scholar ID: 6Qt1NFoAAAAJ
Professeur, Sorbonne Université
Citations & Impact
Citations
7,398
H-index
23
i10-index
30
Publications
20
Co-authors
0
Contact
Publications
Resume
Academic Achievements
- Winner of the Jacques Neveu 2016 Prize for a thesis in probability or statistics.
- Supervised numerous PhD students, co-supervised with researchers such as Stéphane Gaïffas, Julie Josse, Gaël Varoquaux, Claire Boyer, Aymeric Dieuleveut, and Emmanuel Malherbe.
- Published influential papers including:
- — 'Consistency of random forests' (Annals of Statistics, 2015)
- — 'On the asymptotics of random forests' (Journal of Multivariate Analysis, 2016)
- — 'Random forests and kernel methods' (IEEE Transactions on Information Theory, 2016)
- — 'A Random Forest Guided Tour' (TEST, 2016)
- — Multiple preprints (2023–2025) on missing data, causal inference, SMOTE variants, and random forest theory.
Background
- Professor (lecturer) at LPSM and SCAI, Sorbonne Université since September 2023.
- Previously assistant professor at the Center for Applied Mathematics (CMAP), École Polytechnique near Paris.
- Research focuses on theoretical statistics and machine learning, with emphasis on nonparametric estimation.
- PhD thesis on random forests, a machine learning algorithm.
- Keywords: statistical learning, non-parametric estimation, random forests, decision trees, variable importance, missing data, neural networks, causal inference.