2 papers
cs.LG2026
The Effective Number of Nonzeros: Theory and Regularization for Sparse Recovery
Haoyu He, Hao Wang, Jiashan Wang +1
Classical sparse recovery treats all nonzero entries equally, though numerical noise often creates long tails of negligible coefficients. This paper develops an entropy-based notio…
cs.IT2026
A Unified Fractional Regularization Framework for Sparse Recovery
Yinhao Zhao, Haoyu He, Chuanqi Ma +1
We propose a unified fractional regularization framework for sparse signal recovery based on the model. This model generalizes several widely used sparsity-promot…