7 citations · 13 across the 25 of their papers we have counts for
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math.OC2019
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…
math.OC2019
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…