Derives sharp nested CDF envelopes for transported quantile treatment effects under marginal sensitivity bounds on confounding and transportability, with semiparametric estimators, uniform inference, and breakdown frontiers.
arXiv preprint arXiv:2505.24296 , year =
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
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The paper decomposes simulator value errors into identifiable shifts and irreducible residuals, shows passive learning fails on reachability, and introduces Fisher-SEP to minimize posterior value variance via targeted experiments.
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Nested Sensitivity Envelopes for Transported Quantile Treatment Effects
Derives sharp nested CDF envelopes for transported quantile treatment effects under marginal sensitivity bounds on confounding and transportability, with semiparametric estimators, uniform inference, and breakdown frontiers.
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Mind the Sim-to-Real Gap & Think Like a Scientist
The paper decomposes simulator value errors into identifiable shifts and irreducible residuals, shows passive learning fails on reachability, and introduces Fisher-SEP to minimize posterior value variance via targeted experiments.