Research map / Probabilistic and scientific modeling / Causal discovery
Learning Causal Structures Using Regression Invariance
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use LRE with one changed exogenous noise across environments instead of PC alone | Causal structure learning · Synthetic data | UD ratio: reduces the UD ratio by 8 percent | Helped |
| Use LRE instead of LiNGAM | Causal structure learning · Synthetic data | error ratio: approximately twice | Helped |
| Increase the number of variables whose exogenous noise changes across environments | Invariant Prediction · Synthetic data | error ratio | Hurt |
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