BriefGPT.xyz
Dec, 2023
通过k-支撑范数的迭代正则化:稀疏恢复的重要补充
Iterative Regularization with k-Support Norm: an Important Complement to Sparse Recovery
HTML
PDF
William de Vazelhes, Bhaskar Mukhoty, Xiao-Tong Yuan, Bin Gu
TL;DR
基于$k$-支持范数正则化器的迭代正则化算法IRKSN,在广泛条件下实现稀疏恢复,提供边界和应用实例研究。
Abstract
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 (or even unknown)
→