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stat.ML2021★ 17 cited
Minibatch optimal transport distances; analysis and applications
Kilian Fatras, Younes Zine, Szymon Majewski +3
Optimal transport distances have become a classic tool to compare probability distributions and have found many applications in machine learning. Yet, despite recent algorithmic de…
stat.ML2012★ 30 cited
Local stability and robustness of sparse dictionary learning in the presence of noise
Rodolphe Jenatton, Rémi Gribonval, Francis Bach
A popular approach within the signal processing and machine learning communities consists in modelling signals as sparse linear combinations of atoms selected from a learned dictio…