A bundle-based proximal descent method achieves O(1/delta^4) for Moreau stationarity on weakly convex functions and adapts to O(1/delta^2) under smoothness and linear convergence under quadratic growth.
Convex analysis , volume 11
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A Proximal Descent Method for Minimizing Weakly Convex Optimization
A bundle-based proximal descent method achieves O(1/delta^4) for Moreau stationarity on weakly convex functions and adapts to O(1/delta^2) under smoothness and linear convergence under quadratic growth.