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Robust LassoNet: Enhancing Feature Selection in Neural Networks via Robust Loss Functions

arXiv:2609.38263v1 Announce Type: new Abstract: Feature selection in neural networks remains a challenging problem, particularly in the presence of noisy or contaminated data. LassoNet is a recent approach that addresses this issue by combining neural networks with hierarchical sparsity constraints…

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  1. 2026-10-01 04:00 · arXiv stat.ML
    Robust LassoNet: Enhancing Feature Selection in Neural Networks via Robust Loss Functions

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