LEAF learns a scalar Moreau envelope via ICNN to create MEL-ADMM and sMEL-ADMM variants that retain ADMM convergence rates while cutting per-iteration cost, with claimed order-of-magnitude empirical speedups.
KKT-based optimality con- ditions for neural network approximation,
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LEAF: A Learning-Enabled ADMM Framework for Accelerated Convex Optimization
LEAF learns a scalar Moreau envelope via ICNN to create MEL-ADMM and sMEL-ADMM variants that retain ADMM convergence rates while cutting per-iteration cost, with claimed order-of-magnitude empirical speedups.