mlsanityData to 7 Oct 2026

Beyond GAP screening for Lasso by exploiting new dual cutting half-spaces with supplementary material

arXiv 2203.00987 ↗First posted 2 Mar 2022cs.LG stat.MLcited by 2

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Abstract (arXiv)

In this paper, we propose a novel safe screening test for Lasso. Our procedure is based on a safe region with a dome geometry and exploits a canonical representation of the set of half-spaces (referred to as "dual cutting half-spaces" in this paper) containing the dual feasible set. The proposed safe region is shown to be always included in the state-of-the-art "GAP Sphere" and "GAP Dome" proposed by Fercoq et al. (and strictly so under very mild conditions) while involving the same computational burden. Numerical experiments confirm that our new dome enables to devise more powerful screening tests than GAP regions and lead to significant acceleration to solve Lasso.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 8 of its 22 references that are in the map. First posted on arXiv 2 Mar 2022.

Builds on

8 of 22 references.

References · 8

  1. 2016Gap Safe screening rules for sparsity enforcing penaltiescited by 38
  2. 2015Mind the duality gap: safer rules for the Lassocited by 31
  3. 2014Screening Tests for Lasso Problemscited by 15
  4. 2013Safe Screening With Variational Inequalities and Its Application to LASSOcited by 11
  5. 2021Safe rules for the identification of zeros in the solutions of the SLOPE problemcited by 6
  6. 2019Safe squeezing for antisparse codingcited by 5
  7. 2021Dynamic Sasvi: Strong Safe Screening for Norm-Regularized Least Squarescited by 4
  8. 2021Screen & Relax: Accelerating the resolution of Elastic-net by safe identification of the solution supportcited by 4

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 1; 2024: 0; 2025: 0; 2026: 1.

2 papers.