AINeutralarXiv – CS AI · 14h ago6/10
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Improved Guarantees for Heterogeneous Treatment-Effect Estimation via Matrix Completion
Researchers present a new matrix completion approach for estimating heterogeneous treatment effects in panel data, achieving improved row-wise error bounds of Õ(√(1/n + n/m²)) without requiring knowledge of treatment propensities. The work establishes the first sharp row-wise perturbation bounds for low-rank approximation, advancing causal inference methodology.