Programme des journées

Jeudi 20 octobre

9:45 - 10:30 Zinnya Del Villar : Approaching big data from a business perspective (slides)

10:30 - 11:00 Pause

11:00 - 11:45 Jean-Luc Starck : Cosmology and its Data Flood Challenge (slides)

11:45 - 12:30 Fionn Murtagh : Addressing New Challenges, including Ethics, of Big Data Analytics, with the Correspondence Analysis and Geometric Data Analysis Platform (slides)

12:30 - 14:00 Repas

14:00 - 14:45 Erwan Le Pennec : Probablistic and Optimization Approaches in Classification (slides)

14:45 - 15:30 Mark van de Wiel : How to learn from a lot: Empirical Bayes in high-dimensional prediction settings (slides)

15:30 - 16:00 Pause

16:00 - 16:45 Alexandre Gramfort : Why neuroscience need machin learning, statistics and computer science? (slides)

Vendredi 21 octobre

9:00 - 9:45 Nathalie Villa-Vialaneix: Random Forests for Big Data (slides)

9:45 - 10:30 Guillaume Gravier : Analysis and mining of multimedia collections: How can statistics help? (slides)

10:30 - 11:00 Pause

11:00 - 11:45 Giovanni Montana

11:45 - 12:30 Pierre Lafaye de Micheaux : A Unified Regularized Group PLS Algorithm Scalable to Big Data (slides)

12:30 - 14:00 Repas