New stochastic method based on decomposed search directions and Fletcher's augmented Lagrangian achieves O(ε^{-3}) expected oracle complexity for nonconvex equality-constrained optimization.
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A Fletcher's Augmented Lagrangian-Based Stochastic First-Order Method for Nonconvex Equality-Constrained Optimization
New stochastic method based on decomposed search directions and Fletcher's augmented Lagrangian achieves O(ε^{-3}) expected oracle complexity for nonconvex equality-constrained optimization.