ERC Consolidator Grant · 2024
New Frontiers in Projection-Free Methods for Continuous Optimization
Efficient algorithms for continuous and in particular convex optimization have revolutionized science and engineering in the past decades, providing the engine that drives numerous key technical and computational practices used across almost every scientific and engineering discipline. In particular, it is one of the main pillars of the ongoing data science and AI revolution. For many important large scale optimization problems that include constraints that are complex yet highly-structured, the algorithmic weapon of choice are so-called projection-free methods, which are mostly based on the classical Frank-Wolfe method. Despite vast interest and progress in recent years on scaling up…
From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.