Project
EF1-23
On a Frank-Wolfe Approach for Abs-Smooth Optimization
Project Heads
Sebastian Pokutta, Andrea Walther, Zev Woodstock
Project Members
N.N.
Project Duration
01.01.2023 − 31.12.2025
Located at
HU Berlin
Description
Motivated by nonsmooth problems in machine learning, we solve the problem of minimizing an abs-smooth function subject to closed convex constraints. New theory and algorithms are developed using linear minimization oracles to enforce constraints and abs-linearization methods to handle nonsmoothness.
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