The workshop Statlearn is a scientific workshop held every year, which focuses on current and upcoming trends in Statistical Learning. Statlearn is a scientific event of the French Society of Statistics (SFdS) that has been organised since 2010. Conferences and tutorials are organized alternatively every other year. In 2022, a one-week spring-school is scheduled in Cargèse (April, 04-08).
This 12th edition of the Statlearn Springschool will welcome 5 lectures and poster sessions:
Aurélie BOISBUNON - Data Researcher chez Ericsson R&D France, Massy (France),
- Practical applications of the L1 penalty.
Claire BOYER - Assistant professor in Statistics, Sorbonne Université, Paris (France)
- Benign overfitting & double descent.
- Inference & learning with missing values.
Julien MAIRAL - Researcher in machine learning, INRIA, Grenoble (France)
- Large-scale optimisation.
Brendan Murphy - Full professor in Statistics, University College, School of Mathematics & Statistics, Dublin (Ireland)
- Model-based statistical learning with networks
Poster sessions, with some local food, are planned during the week where participants are encouraged to present their own work. They are a great opportunity for young researchers to present their work.