The workshop Statlearn is a premier event held every year, which focuses on current and upcoming trends in Statistical Learning. Statlearn’17, the 8th edition of the workshop, will be held in Lyon on April, 6-7 2017. Statlearn’17 is a conference of the French Society of Statistics (SFdS). The talks will be in English. The workshop will be preceded by a 1-day spring school (tutorials)!

Tutorials (summary):

  • Wednesday, April 5th, 10:00-18:00
    • 9:30-10:00: registration
    • 10:00-13:00: Model-based clustering and classification for high-dimensional data (with R), Charles Bouveyron (Univ. Paris Descartes, web)
    • 15:00-18:00: Intermediate R Programming: The transition from “using” to “scientific computing”, John W. Emerson (Yale University, web)

Workshop (summary and podcast):

    • Thursday, April 6th, 9:00-12:30: Statistical advances in machine learning (chair: C. Friguet)
      • 8:30-09:00: registration
      • 9:00-10:00: Nicolas Vayatis (Ecole Normale Supérieure de Cachan, web): Diffusion phenomena in networks : virality, influence and control (slides)
      • 10:00-10:30: coffee
      • 10:30-11:30: Hugo Larochelle (Google, web): Autoregressive Generative Models with Deep Learning (slides)
      • 11:30-12:30: Rémi Bardenet (CNRS – Université de Lille, web): On MCMC methods for tall data (slides)
    • Thursday, April 6th, 14:30-18:00: High-dimensional & big data (chair: C. Bouveyron)
      • 14:30-15:30: John W. Emerson (Yale University, web): Scalable Programming Strategies for Massive Data in R(slides)
      • 15:30-16:00: coffee
      • 16:00-17:00: Grégory Nuel (CNRS – Université Pierre et Marie Curie, web): An Adaptive Ridge Procedure for garden maintenance quotes (slides)
      • 17:00-18:00: Sébastien Loustau (artfact, web): Real time community detection in large networks (slides)
    • Thursday, April 6th, 18:00-21:00: Poster session and cocktail
  • Friday, April 7th, 9:00-12:30: Text mining (chair: P. Latouche)
    • 9:00-10:00: Martin Jaggi (Ecole Polytechnique Fédérale de Lausanne, web): From Word Vectors to Sentence Representations (slides)
    • 10:00-10:30: coffee
    • 10:30-11:30: Benjamin Piwowarski (CNRS – Université Pierre et Marie Curie, web): Novelties and limits of neural approaches for information access
    • 11:30-12:30: Xavier Tannier (Université Paris Sud, web): NLP-driven Data Journalism: Event-based Extraction and Aggregation of International Alliances Relations (slides)
  • Friday, April 7th, 14:30-16:30: New and future problems in statistical learning (chair: J. Jacques)
    • 14:30-15:30: Christophe Biernacki (Université de Lille, web): About two disinherited sides of statistics: data units and computational saving (slides)
    • 15:30-16:30: Christian Robert (Université Paris Dauphine, web): ABC random forests for Bayesian parameter inference (slides)

Scientific committee:

Charles Bouveyron (Univ. Paris Descartes), Mathieu Emily (Agrocampus Ouest), Chloé Friguet (Univ. Bretagne-Sud), Julien Jacques (Univ. Lyon), Pierre Latouche (Univ. Paris 1)

Organizing committee:

Hussein Al-Natsheh, Clément Christophe, Jairo Cugliari, Charles-Hugues Despointes, Julien Jacques, Aurélien Keleko, Komi Nagbe, Antoine Rolland, Amandine Schmutz, Margot Selosse, Pavel Soriano, Julien Velcin, Xinyu Wang.