Node-Screening Tests For The L0-Penalized Least-Squares Problem
Author:
Affiliation:
1. Univ Rennes,INSA Rennes, CNRS, IRMAR-UMR 6625,Rennes,France,F-35000
2. INRIA Rennes-Bretagne Atlantique,Rennes,France,35000
3. SCEE/IETR UMR CNRS 6164,CentraleSupélec,France,35510
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9745891/9746004/09747563.pdf?arnumber=9747563
Reference22 articles.
1. Sparse Branch and Bound for Exact Optimization of L0-Norm Penalized Least Squares
2. Safe feature elimination for the lasso and sparse super-vised learning problems;ghaoui;Pacific Journal of Optimization,2010
3. Safe screening rules for l0-regression from perspective relaxations;atamturk;International Conference on Machine Learning,2020
4. Node-screening tests for l0-penalized least-squares problem with supplementary material;guyard,2021
5. Branch-and-Bound Methods: A Survey
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1. Safe Peeling for $\ell_{0}$-Regularized Least-Squares;2023 31st European Signal Processing Conference (EUSIPCO);2023-09-04
2. Techniques for accelerating branch-and-bound algorithms dedicated to sparse optimization;Optimization Methods and Software;2023-08-31
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