Research map / Learning theory and algorithms / Prediction and decision losses
A Learning Theoretic Perspective on Local Explainability
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use wider neighborhoods for explanations | Finite sample-based local explanations · UCI regression datasets | train-test MNF generalization gap | Helped |
| Use wider neighborhoods for explanations | Finite sample-based local explanations · UCI regression datasets | test MNF | Mixed |
| Use wider neighborhoods for explanations | Finite sample-based local explanations · UCI regression datasets | train MNF | Hurt |
| Train the black-box model with ExpO regularization for NF | Neural networks · UCI regression datasets | MNF | Helped |
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