Research map / Probabilistic and scientific modeling / Causal discovery
Algorithmic recourse under imperfect causal knowledge: a probabilistic approach
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| probabilistic GP-SCM recourse instead of linear point-estimate SCM | causal recourse · non-linear ANM | validity: 54 -> 100 | Helped |
| probabilistic GP-SCM recourse instead of kernel-regression point estimate | causal recourse · non-additive SCM | validity: 70 -> 95 | Helped |
| probabilistic GP-SCM recourse instead of linear point estimate | causal recourse · loan 7-var, linear log. regr. | validity: 19 -> 100 | Helped |
| probabilistic GP-SCM recourse instead of linear point estimate | causal recourse · linear SCM | validity: 100 -> 100 | No clear effect |
| probabilistic GP-SCM recourse | causal recourse · linear SCM | cost: 11.0 -> 12.2 | Hurt |
| subpopulation CATE recourse (CVAE) instead of individualised GP (ablation) | probabilistic recourse · non-additive SCM | validity: 95 -> 100 | Helped |
| subpopulation CATE recourse instead of individualised (ablation) | probabilistic recourse · non-linear ANM | cost: 21.9 -> 26.0 | Hurt |
| subpopulation CATE recourse instead of individualised (ablation) | probabilistic recourse · linear SCM | validity: 100 -> 89 | Hurt |
| increase gamma_LCB (ablation) | probabilistic recourse · 3-var SCMs | validity | Helped |
| increase gamma_LCB (ablation) | probabilistic recourse · 3-var SCMs | cost | Hurt |
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