A knowledge-driven nonconvex square-root regularization framework for joint group sparsity and structured smoothness
arXiv:2610.35428v1 Announce Type: new Abstract: Structured sparse learning is a leading paradigm for high-dimensional data modeling, as it enables rigorous integration of domain-validated structural priors into the learning process. Among these priors, pre-defined grouped structure and piecewise sm…
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- 2026-10-27 04:00 · arXiv stat.ML
A knowledge-driven nonconvex square-root regularization framework for joint group sparsity and structured smoothness