3 citations · 5 across the 7 of their papers we have counts for
3 papers · 1 filter
Linear Support Vector Regression with Linear Constraints
Quentin Klopfenstein, Samuel Vaiter
This paper studies the addition of linear constraints to the Support Vector Regression (SVR) when the kernel is linear. Adding those constraints into the problem allows to add prio…
Refitting solutions promoted by sparse analysis regularization with block penalties
Charles-Alban Deledalle, Nicolas Papadakis, Joseph Salmon +1
In inverse problems, the use of an analysis regularizer induces a bias in the estimated solution. We propose a general refitting framework for removing this artifact wh…
Maximal Solutions of Sparse Analysis Regularization
Abdessamad Barbara, Abderrahim Jourani, Samuel Vaiter
This paper deals with the non-uniqueness of the solutions of an analysis-Lasso regularization. Most of previous works in this area is concerned with the case where the solution set…