Organized by: Sylvain Arlot (Université Paris-Sud, Paris-Saclay), Francis Bach (INRIA Paris), Alain Celisse (Université de Lille 1)

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.

Schlumberger