3 papers
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…
cs.LG2025
Policy Learning with Abstention
Ayush Sawarni, Jikai Jin, Justin Whitehouse +1
Policy learning algorithms are widely used in areas such as personalized medicine and advertising to develop individualized treatment regimes. However, most methods force a decisio…
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…