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Found 4 papers, 3 papers with code
A Decoupled Approach for Composite Sparse-plus-Smooth Penalized Optimization
Consequently, we identify that solving the optimization problem can be decoupled, first identifying the sparse solution as a solution of a modified single-variable problem, then deducing the smooth component.
Une version polyatomique de l'algorithme Frank-Wolfe pour résoudre le problème LASSO en grandes dimensions
Nous d\'emontrons sa sup\'eriorit\'e par rapport aux m\'ethodes proximales dans des situations en grande dimension avec des mesures de Fourier, lors de la r\'esolution de probl\`emes simul\'es inspir\'es de la radio-interf\'erom\'etrie.
A Fast and Scalable Polyatomic Frank-Wolfe Algorithm for the LASSO
We propose a fast and scalable Polyatomic Frank-Wolfe (P-FW) algorithm for the resolution of high-dimensional LASSO regression problems.
About Graph Degeneracy, Representation Learning and Scalability
This task is called Graph Representation Learning.
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