Program > Program

Scientific activities:

The Statlearn Spring School will welcome several lectures:

  • David BLEI , professor in Statistics, Columbia University, New York (USA)

  • Aurélie BOISBUNON - Datascientist, MyDataModels, Nice (France)
    Practical applications of the L1 penalty
    The L1 penalty has arisen a lot of interest in the statistical and machine learning communities in the 90's and early 2000's, due to its ability to both select relevant variables and/or features and estimate their corresponding weights at the same time. Despite its decrease in popularity with the recent advances in deep learning, it can still be very useful in many real-life applications. We will first introduce the main concepts of the L1 penalty and its convex and nonconvex variants (e.g. Elastic net, MCP, SCAD, log penalty, ...) : sparsity, bias, regularization path. Then, we will discuss how it can be applied in practice in different contexts beyond linear regression/classification, ranging from random feature generation to signal and image processing.

  • Claire BOYER- Assistant professor in Statistics, Sorbonne Université, Paris (France)
  • Julien MAIRAL - Researcher in machine learning, INRIA, Grenoble (France)

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.

Social activities:

Local food and drinks will be proposed during the welcome drink on Monday, the poster sessions and the workshop dinner on Thursday.

On Wednesday, we will go to the Calanques de Piana and visit this wonderful UNESCO World Heritage Site! It will not be a hike, but bringing good walking shoes is highly recommanded.




Photos: P-A Mattei

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