2 papers
cs.LG2020
Provably Convergent Working Set Algorithm for Non-Convex Regularized Regression
Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso +1
Owing to their statistical properties, non-convex sparse regularizers have attracted much interest for estimating a sparse linear model from high dimensional data. Given that the s…
eess.SP2019
Block based refitting in sparse regularisation
Charles-Alban Deledalle, Nicolas Papadakis, Joseph Salmon +1
In many linear regression problems, including ill-posed inverse problems in image restoration, the data exhibit some sparse structures that can be used to regularize the inversion.…