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Deriving Approximate Message Passing from the Convex Gaussian Min-Max Theorem
Approximate message passing (AMP) provides fast iterative algorithms for high-dimensional signal recovery with Gaussian design matrices, while the Convex Gaussian Min--max Theorem (CGMT) gives a static optimization framework for obtaining sharp asymptotic characterizations of convex estimators. Alth
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