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Fully First-Order Optimization for Implicit Multilevel Compositions via Recursive Perturbations
We study optimization over a finite composition of implicit response maps generated by smooth potentials with strongly monotone signed gradients. This class includes chains mixing strongly convex minimization and strongly convex--strongly concave saddle responses. We propose a fully first-order meth
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