Jaouad Mourtada

About me

I am a PhD student in machine learning in the Center for Applied Mathematics (CMAP) at École Polytechnique, under the supervision of Stéphane Gaïffas and Erwan Scornet.

My primary research subject is the theoretical analysis of Random Forest algorithms. I am also interested in online learning, in particular in prediction with expert advice and online optimization.

Publications

  • Jaouad Mourtada, Stéphane Gaïffas. On the optimality of the Hedge algorithm in the stochastic regime. Journal of Machine Learning Research, 20(83):1−28, 2019. [PDF] [Link] [arXiv] [Slides] [Bibtex]

  • Jaouad Mourtada, Stéphane Gaïffas, Erwan Scornet. Minimax optimal rates for Mondrian trees and forests. In revision, 2018. [PDF] [arXiv] [Bibtex]

  • Jaouad Mourtada, Stéphane Gaïffas, Erwan Scornet. Universal consistency and minimax rates for online Mondrian Forests. In Advances in Neural Information and Processing Systems (NIPS), 2017. [PDF] [Link] [arXiv] [Poster] [Bibtex]

  • Jaouad Mourtada, Odalric-ambrym Maillard. Efficient tracking of a growing number of experts. In Proceedings of the 28th international conference on Algorithmic Learning Theory (ALT), 2017. [PDF] [Link] [arXiv] [Slides] [Bibtex]

Service

Reviewer for NeurIPS 2018, 2019 and ICML 2019.

Contact

Email: jaouad (dot) mourtada (at) polytechnique (dot) edu

Office: Room 2011 (second floor) in the CMAP Lab at École Polytechnique  —  91128 Palaiseau, France