ArXiv TLDR

Eichi Uehara

2 papers · Latest:

Statistical Machine Learning

SHIFT: Robust Double Machine Learning for Average Dose-Response Functions under Heavy-Tailed Contamination

SHIFT introduces a robust Double Machine Learning method for Average Dose-Response Functions, significantly improving outlier handling under heavy-tailed contamination.

2605.00176
Statistical Machine Learning

Bayesian X-Learner: Calibrated Posterior Inference for Heterogeneous Treatment Effects under Heavy-Tailed Outcomes

Bayesian X-Learner offers calibrated posterior inference for heterogeneous treatment effects, robust to heavy-tailed outcomes, a gap in existing methods.

2604.27394

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