An inexact Riemannian proximal DC framework solves nonsmooth DC problems on manifolds with O(ε^-3) overall complexity and, on the sphere, DC relaxations exactly match ℓ0-regularized and ℓ0-constrained models for large penalties.
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An Inexact Proximal Framework for Nonsmooth Riemannian Difference-of-Convex Optimization
An inexact Riemannian proximal DC framework solves nonsmooth DC problems on manifolds with O(ε^-3) overall complexity and, on the sphere, DC relaxations exactly match ℓ0-regularized and ℓ0-constrained models for large penalties.