2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2018
DOI: 10.1109/icassp.2018.8462530
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Joint Screening Tests for Lasso

Abstract: 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 proced… Show more

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Cited by 5 publications
(9 citation statements)
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“…Another question of interest is the relative effectiveness of the joint sphere and dome tests proposed in (22) and (23)- (24), respectively. The next lemma provides some insights into this question.…”
Section: B Relative Effectiveness Of the Screening Testsmentioning
confidence: 99%
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“…Another question of interest is the relative effectiveness of the joint sphere and dome tests proposed in (22) and (23)- (24), respectively. The next lemma provides some insights into this question.…”
Section: B Relative Effectiveness Of the Screening Testsmentioning
confidence: 99%
“…Let us first consider the case when R l is a sphere, that is R l = B(t l , l ). We assume that the test vector t l is given and want to tune the value of l so that R l is the largest sphere passing (if possible) the joint screening test (22). Noticing that the joint sphere test (22) is satisfied as soon as the radius l verifies…”
Section: Choosing the "Size" Of Rmentioning
confidence: 99%
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“…Proof : Using (16), it is sufficient to show that the first three eigenfunctions of R (defined in (14)) can be written as linear combinations of cos(ωθ), sin(ωθ) and the constant function over Θ , say 1 Θ (θ). Now, using a simple trigonometric identity, we obtain κ(θ, θ ) = a + b cos(ωθ) cos(ωθ ) + b sin(ωθ) sin(ωθ ), and therefore span(R) = span(1 Θ (θ), cos(ωθ), sin(ωθ)).…”
Section: Raised-cosine Kernelsmentioning
confidence: 99%