The Statlearn Springschool

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.

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