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
https://indico.math.cnrs.fr/event/1007/
where you will also find detailed information about the conference.
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