Since september 2016, I am an assistant professor at the Center for Applied Mathematics (CMAP) in Ecole Polytechnique near Paris. My research interests focus on theoretical statistics and Machine Learning with a particular emphasis on nonparametric estimates. I did my PhD thesis on a particular algorithm of Machine Learning called random forests, under the supervision of Gérard Biau (LSTA - Paris 6) and Jean-Philipe Vert (Institut Curie).
A new graduate degree on Artificial Intelligence will open in September 2018 at Ecole Polytechnique.
The official training website is here
and additional information on the scientific
content can be found here .
A short summary can also be found here (presentation of March 28, 2018)
If you are interested, applications are open until May 6, 2018.
- Winner of the Jacques Neveu 2016 Prize for a thesis in the field of probability or statistic.
Jaouad Mourtada (2016-)
Ph.D. student co-supervised with Stéphane Gaïffas
- J. Mourtada, S. Gaïffas, E. Scornet. Minimax optimal rates for Mondrian trees and forests , 2018
- J Josse, N. Prost, E. Scornet, G. Varoquaux On the consistency of supervised learning with missing values , 2019
- Scornet, E., Biau, G. and Vert, J.-P. (2015). Consistency of random forests, The Annals of Statistics, Vol. 43, pp. 1716-1741 (Supplementary materials ).
- Scornet, E. (2016). On the asymptotics of random forests, Journal of Multivariate Analysis, Vol. 146, pp. 72-83.
- Scornet, E. (2016). Random forests and kernel methods, IEEE Transactions on Information Theory, Vol. 62, pp. 1485-1500.
- Biau, G., Scornet, E. (2016). A Random Forest Guided Tour, TEST, Vol. 25, pp. 197-227. ( Discussion )
- Scornet, E. (2016). Promenade en forêts aléatoires, MATAPLI, Vol. 111.
- E. Bernard, Y. Jiao, E. Scornet, V. Stoven, T. Walter and J.-P. Vert (2017) Kernel multitask regression for toxicogenetics, Molecular Informatics, in press.
- J. Mourtada, S. Gaïffas, E. Scornet, (2017) Universal consistency and minimax rates for online Mondrian Forest, NIPS 2017 (Supplementary materials ).
- Scornet, E. (2017). Tuning parameters in random forests, ESAIM Procs, Vol. 60 pp. 144-162.
- R. Duroux, E. Scornet (2018) Impact of subsampling and tree depth on random forests, ESAIM (accepted for publication)
- G. Biau, E. Scornet, J. Welbl, (2018) Neural Random Forests , Sankhya A (accepted for publication)
- PhD thesis Learning with random forests, defended on Monday, 30th November, 2015.
- Email: email@example.com (without hyphens).
- Office: 136, Turing Building, Route de Saclay, Palaiseau.
- Phone number: +33 1 77 57 80 80