s-ID: Causal Effect Identification in a Sub-Population

1 code implementation • 5 Sep 2023 • Amir Mohammad Abouei, Ehsan Mokhtarian, Negar Kiyavash

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).

Causal Inference

The Interplay between Distribution Parameters and the Accuracy-Robustness Tradeoff in Classification

no code implementations • ICML Workshop AML 2021 • Alireza Mousavi Hosseini, Amir Mohammad Abouei, Mohammad Hossein Rohban

Adversarial training tends to result in models that are less accurate on natural (unperturbed) examples compared to standard models.