2 papers
cs.AI2026
New Insight of Variance reduce in Zero-Order Hard-Thresholding: Mitigating Gradient Error and Expansivity Contradictions
Xinzhe Yuan, William de Vazelhes, Bin Gu +1
Hard-thresholding is an important type of algorithm in machine learning that is used to solve constrained optimization problems. However, the true gradient of the objectiv…
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…