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Graphical Convergence of Subgradients in Nonconvex Optimization and Learning
Work
Year: 2021
Type: article
Abstract: We investigate the stochastic optimization problem of minimizing population risk, where the loss defining the risk is assumed to be weakly convex. Compositions of Lipschitz convex functions with smoot... more
Cites: 26
Cited by: 5
Related to: 10
FWCI: 0.647
Citation percentile (by year/subfield): 67.45
Open Access status: green