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...
| 主要な著者: | , |
|---|---|
| フォーマット: | Conference item |
| 言語: | English |
| 出版事項: |
PMLR
2025
|