Welcome to the workshop

Statistics, Optimization and Machine Learning.


Aims and scope

New challenging subjects of statistical inquiry have encouraged collaborations between Statistics, Computer Science and Optimization. Researchers in different areas of optimization have been producing efficient algorithms for solving statistical problems related to the treatment of massive data. At the same time, the statistical community is becoming more aware of the importance of efficient numerical routines. The purpose of this conference is to foster exchanges between different communities working with high-dimensional data.


Organizing committee

  • Alexandre d'Aspremont, CNRS and Ecole Normale Supérieure, Paris.
  • Sébastien Bubeck, Microsoft Research, Redmond.
  • Marco Cuturi, Google Brain and ENSAE, Paris.
  • Masashi Sugiyama, RIKEN AIP and Tokyo University.
Contact: cuturi@google.com aspremon@ens.fr