Author

Alejandro Ribeiro

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#machine learning Jan 2026

Unrolled Neural Networks for Constrained Optimization

This work develops unrolled neural networks to solve constrained optimization problems, offering accelerated, learnable counterparts to dual ascent (DA) algorithms, and formulate training the two networks as a nested optimization problem and propose an alternating procedure that updates the primal and dual networks.

Samar Hadou, Alejandro Ribeiro · arXiv.org · 1 citation