Research map / Learning theory and algorithms / Sample complexity
Generalized Direct Change Estimation in Ising Model Structure
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use direct L1-regularized change estimation instead of separate L1 model estimation and subtraction | Ising models with sparse edge changes · Sparse edge changes (three star subgraphs) | ROC curve | Helped |
| Use direct group-sparse change estimation instead of separate L1 model estimation and subtraction | Ising models with group-sparse changes and random graph structure · Group-sparse changes (random graph) | ROC curve | Helped |
| Use direct group-sparse change estimation instead of separate L1 model estimation and subtraction | Ising models with group-sparse changes and scale-free graph structure · Group-sparse changes (scale-free graph) | ROC curve | Hurt |
| Use direct group-sparse change estimation instead of separate L1 model estimation and subtraction | Ising models with group-sparse changes and block graph structure · Group-sparse changes (block graph) | ROC curve | Helped |
| Use direct node-perturbation change estimation instead of separate L1 model estimation and subtraction | Ising models with two perturbed nodes · Node perturbation (two perturbed nodes) | ROC curve | Helped |
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