Dual feature reduction for the sparse-group lasso and its adaptive variant
Released in 2024
This paper presents a new feature reduction approach for the sparse-group lasso and adaptive sparse-group lasso, called Dual Feature Reduction (DFR). Accepted at ICML 25.
Recommended citation: Fabio Feser and Marina Evangelou (2024). "Dual feature reduction for the sparse-group lasso and its adaptive variant". arXiv preprint arXiv:2405.17094.
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