Introduces pessimistic and opportunistic policies for offline dynamic pricing under no price coverage via partial identification from demand monotonicity, with finite-sample regret bounds that recover standard rates when coverage exists.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2024 2verdicts
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Develops shadow variable identification and SIO estimation achieving asymptotic normality and local efficiency for mediation effects under nonignorable missing confounders.
citing papers explorer
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A Tale of Two Cities: Pessimism and Opportunism in Offline Dynamic Pricing
Introduces pessimistic and opportunistic policies for offline dynamic pricing under no price coverage via partial identification from demand monotonicity, with finite-sample regret bounds that recover standard rates when coverage exists.
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Efficient Nonparametric Inference for Mediation Analysis with Nonignorable Missing Confounders
Develops shadow variable identification and SIO estimation achieving asymptotic normality and local efficiency for mediation effects under nonignorable missing confounders.