Adaptive, Efficient, Provable and Flexible Tuning for Machine Learning

Joint research team between CWI and Inria.


4TUNE is an associate team within CWI-Inria International Lab.

The long-term goal of 4TUNE is to push adaptive machine learning to the next level. We aim to develop refined methods, going beyond traditional worst-case analysis, for exploiting structure in the learning problem at hand. We will develop new theory and design sophisticated algorithms for the core tasks of statistical learning and individual sequence prediction. We are especially interested in understanding the connections between these tasks and developing unified methods for both. We will also investigate adaptivity to non-standard patterns encountered in embedded learning tasks, in particular in iterative equilibrium computations.


4TUNE includes 2 research scientists from the Centrum Wiskunde & Informatica (CWI) and 3 researchers from the Sierra project-team of Inria.

CWI researchers

INRIA, Sierra project-team researchers


The list below contains papers related to the 4TUNE project.

Contact us

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