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stat.ML2026
Sharp Structure-Agnostic Lower Bounds for General Linear Functional Estimation
Jikai Jin, Vasilis Syrgkanis
We establish a general statistical optimality theory for estimation problems where the target parameter is a linear functional of an unknown nuisance component that must be estimat…
stat.ML2025
It's Hard to Be Normal: The Impact of Noise on Structure-agnostic Estimation
Jikai Jin, Lester Mackey, Vasilis Syrgkanis
Structure-agnostic causal inference studies how well one can estimate a treatment effect given black-box machine learning estimates of nuisance functions (like the impact of confou…