3 papers
cs.LG2025
On the Granularity of Causal Effect Identifiability
Yizuo Chen, Adnan Darwiche
The classical notion of causal effect identifiability is defined in terms of treatment and outcome variables. In this paper, we consider the identifiability of state-based causal e…
cs.LG2024
Modeling and Discovering Direct Causes for Predictive Models
Yizuo Chen, Amit Bhatia
We introduce a causal modeling framework that captures the input-output behavior of predictive models (e.g., machine learning models). The framework enables us to identify features…
cs.AI2024
Constrained Identifiability of Causal Effects
Yizuo Chen, Adnan Darwiche
We study the identification of causal effects in the presence of different types of constraints (e.g., logical constraints) in addition to the causal graph. These constraints impos…