A matrix completion estimator achieves row-wise ℓ₂ error Õ(√(1/n + n/m²)) for heterogeneous treatment effects under low-rank assumptions without propensity knowledge, via a new sharp row-wise perturbation bound.
Always Valid Inference: Continuous Monitoring of A/B Tests
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Improved Guarantees for Heterogeneous Treatment-Effect Estimation via Matrix Completion
A matrix completion estimator achieves row-wise ℓ₂ error Õ(√(1/n + n/m²)) for heterogeneous treatment effects under low-rank assumptions without propensity knowledge, via a new sharp row-wise perturbation bound.