Derivation graphs characterize the space of do-calculus equivalent interventional expressions, enable identification with at most four rule applications, and yield multiple valid estimands for improved efficiency.
External Validity: From Do-Calculus to Transportability Across Populations, page 451–482
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Single-axis reward bias mitigations redirect optimization pressure to correlated proxies, and audit-distribution scoring produces identical observables for successful mitigation, bias substitution, and overcorrection.
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Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs
Derivation graphs characterize the space of do-calculus equivalent interventional expressions, enable identification with at most four rule applications, and yield multiple valid estimands for improved efficiency.
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Reward Bias Substitution: Single-Axis Bias Mitigations Redirect Optimization Pressure
Single-axis reward bias mitigations redirect optimization pressure to correlated proxies, and audit-distribution scoring produces identical observables for successful mitigation, bias substitution, and overcorrection.