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Found 3 papers, 1 papers with code
Causal Effect Identification in a Sub-Population with Latent Variables
The s-ID problem seeks to compute a causal effect in a specific sub-population from the observational data pertaining to the same sub population (Abouei et al., 2023).
s-ID: Causal Effect Identification in a Sub-Population
We introduce and advocate for a causal inference problem in sub-populations (henceforth called s-ID), in which we merely have access to observational data of the targeted sub-population (as opposed to the entire population).
The Interplay between Distribution Parameters and the Accuracy-Robustness Tradeoff in Classification
Adversarial training tends to result in models that are less accurate on natural (unperturbed) examples compared to standard models.
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