%0 Conference Proceedings
%T Joint Screening Tests for LASSO
%+ SIMulation pARTiculaire de Modèles Stochastiques (SIMSMART)
%+ Lab-STICC_ENSTAB_CID_TOMS
%A Herzet, Cedric
%A Drémeau, Angélique
%< avec comité de lecture
%B ICASSP 2018 - IEEE International Conference on Acoustic, Speech and Signal Processing
%C Calgary, Canada
%I IEEE
%P 4084-4088
%8 2018-04-15
%D 2018
%R 10.1109/ICASSP.2018.8462530
%K LASSO
%K l1-norm minimization
%K Screening techniques
%Z Engineering Sciences [physics]/Signal and Image processing
%Z Statistics [stat]/Machine Learning [stat.ML]Conference papers
%X This paper focusses on " safe " screening techniques for the LASSO problem. Motivated by the need for low-complexity algorithms, we propose a new approach, dubbed " joint screening test " , allowing to screen a set of atoms by carrying out one single test. The approach is particularized to two different sets of atoms, respectively expressed as sphere and dome regions. After presenting the mathematical derivations of the tests, we elaborate on their relative effectiveness and discuss the practical use of such procedures.
%G English
%2 https://inria.hal.science/hal-01739477/document
%2 https://inria.hal.science/hal-01739477/file/Group_screening.pdf
%L hal-01739477
%U https://inria.hal.science/hal-01739477
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