385 citations · 1.5k across the 64 of their papers we have counts for
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Generalized conditional gradient: analysis of convergence and applications
Alain Rakotomamonjy, Rémi Flamary, Nicolas Courty
The objectives of this technical report is to provide additional results on the generalized conditional gradient methods introduced by Bredies et al. [BLM05]. Indeed , when the obj…
Distributed image reconstruction for very large arrays in radio astronomy
André Ferrari, David Mary, Rémi Flamary +1
Current and future radio interferometric arrays such as LOFAR and SKA are characterized by a paradox. Their large number of receptors (up to millions) allow theoretically unprecede…
Non-convex Regularizations for Feature Selection in Ranking With Sparse SVM
Léa Laporte, Rémi Flamary, Stephane Canu +2
Feature selection in learning to rank has recently emerged as a crucial issue. Whereas several preprocessing approaches have been proposed, only a few works have been focused on in…
DC Proximal Newton for Non-Convex Optimization Problems
Alain Rakotomamonjy, Remi Flamary, Gilles Gasso
We introduce a novel algorithm for solving learning problems where both the loss function and the regularizer are non-convex but belong to the class of difference of convex (DC) fu…
Optimal Transport for Domain Adaptation
Nicolas Courty, Rémi Flamary, Devis Tuia +1
Domain adaptation from one data space (or domain) to another is one of the most challenging tasks of modern data analytics. If the adaptation is done correctly, models built on a s…