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multi-level optimization

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papersTODAY 04:00 UTC

Projection-Free Methods for Stochastic Constrained Compositional Optimization

A new arXiv paper develops projection-free algorithms for stochastic optimization problems whose objectives are nested compositions of smooth functions over a closed convex decision set. The work targets the multi-level compositional setting, where gradients must be estimated through several layers of functions. It aims to avoid costly projection steps while still handling constraints.