Liste des invités

• Alexandre Gramfort, Telecom ParisTech
• Guillaume Gravier, IRISA
• Pierre Lafaye de Micheaux (ENSAI Rennes) 
• Erwan Le Pennec, Ecole Polytechnique
• Giovanni Montana, King’s College London
• Fionn Murtagh, Univ. London
• Jean-Luc Starck, CEA Saclay
• Mark van de Wiel, Univ. Amsterdam
• Nathalie Villa-Vialaneix, INRA Toulouse
• Zinnya Del Villar, Data2b Rennes

Titres et résumés

• Alexandre Gramfort: When machines look at neurons: machine learning with neuroscience time series 
• Guillaume Gravier:  Analysis and mining of multimedia collections: How can statistics help?
• Pierre Lafaye de Micheaux: A Unied Regularized Group PLS Algorithm Scalable to Big Data
• Erwan Le Pennec: Probablistic and Optimization Approaches in Classification
• Fionn Murtagh: Addressing New Challenges, including Ethics, of Big Data Analytics, with the Correspondence Analysis and Geometric Data Analysis Platform
• Jean-Luc Starck: Cosmology and its Data Flood Challenge
• Mark van de Wiel: How to learn from a lot: Empirical Bayes in high-dimensional prediction settings
• Nathalie Villa-Vialaneix: Random Forests for Big Data