Nonsmoothness in Machine Learning: Specific Structure, Proximal Identification, and Applications

Author:

Iutzeler Franck,Malick JérômeORCID

Funder

ANR

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Geometry and Topology,Numerical Analysis,Statistics and Probability,Analysis

Reference58 articles.

1. Absil, P.A., Mahony, R., Sepulchre, R.: Optimization Algorithms on matrix manifolds. Princeton University Press, Princeton (2008)

2. Bach, F.: Consistency of trace norm minimization. J. Mach. Learn. Res. 9, 1019–1048 (2008)

3. Bach, F., Jenatton, R., Mairal, J., Obozinski, G., et al.: Convex optimization with sparsity-inducing norms. Optim. Mach. Learn. 5, 19–53 (2011)

4. Bach, F., Jenatton, R., Mairal, J., Obozinski, G., et al.: Optimization with sparsity-inducing penalties. Found. Trends®; Mach. Learn. 4(1), 1–106 (2012)

5. Bareilles, G., Iutzeler, F.: On the interplay between acceleration and identification for the proximal gradient algorithm. Computational Optimization and Applications (2020)

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