Parameter Estimation on Synthetic p=q=200, M=20, Low noise
0.01MSE (W)SLM-Manifold
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| SLM-ManifoldDimension p=200, Dimension q=200, Latent variables M=20, Rank r=5, Sample size N=2000, Noise level=Low, Evaluation protocol=5-fold outer CV2026.05 | 0.01 | 0.02 | 0.04 | 0.06 | 0 | |
| BCD-SLMDimension p=200, Dimension q=200, Latent variables M=20, Rank r=5, Sample size N=2000, Noise level=Low, Evaluation protocol=5-fold outer CV2026.05 | 0.01 | 0.02 | 0.04 | 0.06 | 0 | |
| SLM-OracleDimension p=200, Dimension q=200, Latent variables M=20, Rank r=5, Sample size N=2000, Noise level=Low, Evaluation protocol=5-fold outer CV2026.05 | 0.01 | 0.02 | 0.04 | 0.06 | 0 | |
| EMDimension p=200, Dimension q=200, Latent variables M=20, Rank r=5, Sample size N=2000, Noise level=Low, Evaluation protocol=5-fold outer CV2026.05 | 0.02 | 0.03 | 0.06 | 0.06 | 0.01 | |
| ECMDimension p=200, Dimension q=200, Latent variables M=20, Rank r=5, Sample size N=2000, Noise level=Low, Evaluation protocol=5-fold outer CV2026.05 | 0.02 | 0.03 | 0.05 | 0.07 | 0.01 | |
| SLM-InteriorDimension p=200, Dimension q=200, Latent variables M=20, Rank r=5, Sample size N=2000, Noise level=Low, Evaluation protocol=5-fold outer CV2026.05 | 0.23 | 0.22 | 2.52 | 1.72 | 0.43 |