Science Advances
Supplementary Materials
This PDF file includes:
- Supplementary Text
- section S1. Analysis of the estimators RPLE, RISE, and logRISE
- section S2. On optimization techniques for minimizing the estimators
- section S3. On the procedure for M* selection
- section S4. On the theoretical predictions for λ selection
- section S5. Empirical selection of the regularization parameter λ
- section S6. Hyperparameter λ selection through cross-validation
- section S7. Scalings of the RISE with respect to γ
- section S8. High-temperature expansion of the RISE and the RPLE
- fig. S1. Schematic representation of the proof strategy for bounding the reconstruction
error.
- fig. S2. Dependence of the number of samples M* required for a correct structure recovery on the regularization coefficient.
- fig. S3. Selection of the hyperparameter λ through the K-fold cross-validation
method on a 4 × 4 spin glass system on a square lattice.
- fig. S4. Values of M* and γ exponents for the RISE across different test cases.
- References (42–45)
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