351 citations · 754 across the 48 of their papers we have counts for
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Testing Causal Models with Hidden Variables in Polynomial Delay via Conditional Independencies
Hyunchai Jeong, Adiba Ejaz, Jin Tian +1
Testing a hypothesized causal model against observational data is a key prerequisite for many causal inference tasks. A natural approach is to test whether the conditional independ…
Fairness-Accuracy Trade-Offs: A Causal Perspective
Drago Plecko, Elias Bareinboim
Systems based on machine learning may exhibit discriminatory behavior based on sensitive characteristics such as gender, sex, religion, or race. In light of this, various notions o…
Neural Causal Abstractions
Kevin Xia, Elias Bareinboim
The abilities of humans to understand the world in terms of cause and effect relationships, as well as to compress information into abstract concepts, are two hallmark features of…
Counterfactual Image Editing
Yushu Pan, Elias Bareinboim
Counterfactual image editing is an important task in generative AI, which asks how an image would look if certain features were different. The current literature on the topic focus…