4TUNE

Adaptive, Efficient, Provable and Flexible Tuning for Machine Learning

Joint research team between CWI and Inria.

Presentation

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.

Team

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

Publications

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

Contact us

Please visit contact information on researchers' webpages.