‘Fast Convex Iteration Learning: Theory and Applications’

Grants for research teams

Big Data


The project aims first to perform basic research on convex optimization, seeking to contribute to the state of the art in the area of acceleration methods to improve the convergence of gradient descent in convex problems. The project`s second goal is to apply some of these advances as well as other complementary Machine Learning approaches, to achieve a better prediction of wind and solar energy.