A variable smoothing method for DC composite optimization is proposed for robust phase retrieval, with convergence to DC critical points and experiments indicating better outlier robustness than ℓ1 loss.
Linearly-involved Moreau-enhanced-over-subspace model: Debiased sparse modeling and stable outlier-robust regression
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A DC Composite Optimization via Variable Smoothing for Robust Phase Retrieval with Nonconvex Loss Functions
A variable smoothing method for DC composite optimization is proposed for robust phase retrieval, with convergence to DC critical points and experiments indicating better outlier robustness than ℓ1 loss.