#policy-targeting

3 notes

• Dunnhumby — Track 2: Causal Targeting via Heterogeneous Treatment Effects Meta-learner / Causal Forest CATE under severe positivity violation (PS AUC 0.989); an OPE-validated policy targets ~31% of customers and surfaces counter-intuitive negative-CATE segments. Hypothesis-generating on public data.
• Optimal Targeting Policy An Optimal Targeting Policy maps covariates $x$ to a treatment decision $\pi(x)\in\{0,1\}$ so as to maximize policy value:
• Targeting & Profiling Overview Targeting & Profiling is the industrial face of personalization. The same methodological core (heterogeneous effect estimation → individual-level optimal policy; MOC-Personalization) appears in clinical settings as "optimal treatment assignment per patient," and in industry as "optimal campaign/exposure assignment per customer." This domain answers who…