Introduces D2S3 semiparametric framework that extends AIPW estimators to semi-supervised settings with MAR labeling, distribution shift, and decaying overlap, supplying corrected asymptotic rates instead of root-n convergence.
(40) In summary , we have (n+N) 1/2 ¯V −1/2 θ ⋆ ˆθˆµ −θ ⋆ = (n+N) −1/2 ¯V −1/2 θ ⋆ n+NX i=1 ϕ Di;θ ⋆; ¯µ;π ⋆ n,N +o P (1)
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Semiparametric semi-supervised learning for general targets under distribution shift and decaying overlap
Introduces D2S3 semiparametric framework that extends AIPW estimators to semi-supervised settings with MAR labeling, distribution shift, and decaying overlap, supplying corrected asymptotic rates instead of root-n convergence.