An Inexact Augmented Lagrangian Framework for Nonconvex Optimization with Nonlinear Constraints

Mehmet Fatih Sahin, Armin eftekhari, Ahmet Alacaoglu, Fabian Latorre, Volkan Cevher

Neural Information Processing Systems 

We propose a practical inexact augmented Lagrangian method (iALM) for noncon-vex problems with nonlinear constraints.

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