Robust gradient descent for phase retrieval
Recent progress in robust statistical learning has mainly tackled convex problems, like mean estimation or linear regression, with non-convex challenges receiving less attention. Phase retrieval exemplifies such a nonconvex problem, requiring the recovery of a signal from only the magnitudes of its...
| Main Authors: | , |
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| Format: | Conference item |
| Language: | English |
| Published: |
PMLR
2025
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