2 papers
math.OC2025
Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees
William de Vazelhes, Xiao-Tong Yuan, Bin Gu
In sparse optimization, enforcing hard constraints using the pseudo-norm offers advantages like controlled sparsity compared to convex relaxations. However, many real-worl…
eess.SP2024
Iterative Regularization with k-support Norm: An Important Complement to Sparse Recovery
William de Vazelhes, Bhaskar Mukhoty, Xiao-Tong Yuan +1
Sparse recovery is ubiquitous in machine learning and signal processing. Due to the NP-hard nature of sparse recovery, existing methods are known to suffer either from restrictive…