Tuesday, February 09, 2016

Two-day workshop on "Computational and statistical trade-offs in learning", IHES, France, March 22-23

Francis just let me know of this two-day workshop on "Computational and statistical trade-offs in learning" which will take place at IHES on March 22-23, 2016

Computational and statistical trade-offs in learning

March 22-23, 2016

Institut des hautes etudes scientifiques, Centre de conference Marilyn et James Simons, 35 route de Chartres 91440 Bures sur Yvette

This workshop focuses on the computational and statistical trade-offs arising in various domains (optimization, statistical/machine learning). This is a challenging question since it amounts to optimize the performance under limited computational resources, which is crucial in the large-scale data context. One main goal is to identify important ideas independently developed in some communities that could benefit the others.

Invited speakers:

  • Pierre Alquier (ENSAE, Paris-Saclay)
  • Alexandre d'Aspremont (D.I., CNRS / ENS Paris)
  • Quentin Berthet (DPMMS, Cambridge Univ., UK)
  • Alain Celisse (Université de Lille)
  • Rémi Gribonval (INRIA, Rennes)
  • Emilie Kaufmann (CNRS, Lille)
  • Vianney Perchet (CREST, ENSAE Paris-Saclay)
  • Garvesh Raskutti (Wisconsin Institute for Discovery, Madison, USA)
  • Ohad Shamir (Weizmann Insitute, Rehovot, Israel)
  • Silvia Villa (Istituto Italiano di Tecnologia, Genova & MIT, Cambridge, USA)

    The conference is free and open to all, but registration is mandatory before March, 19. Please fill-in the form at


    where you will also find detailed information about the conference.

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