Research map / Learning theory and algorithms / Sample complexity
Towards Sample-Optimal Compressive Phase Retrieval with Sparse and Generative Priors
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use PRI-SPCA spectral initialization | Sparse phase retrieval · Synthetic, noiseless; varying measurements and sparsity | initial relative error | Helped |
| Use PRI-SPCA spectral initialization | Sparse phase retrieval · Synthetic, noisy; varying noise level | initial relative error | Helped |
| Replace truncated empirical matrix with the non-truncated matrix (ablation) | PRI-SPCA · Synthetic sparse phase retrieval, noiseless | initial relative error | Hurt |
| Replace truncated empirical matrix with the non-truncated matrix (ablation) | PRI-SPCA · Synthetic sparse phase retrieval, low noise | initial relative error | Hurt |
| Use PRI-SPCA spectral initialization | Sparse phase retrieval · Synthetic sparse phase retrieval, high noise | initial relative error | No clear effect |
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