2024
DISCRET: Synthesizing Faithful Explanations For Treatment Effect Estimation
ICML 2024spotlight
Designing faithful yet accurate AI models is challenging, particularly in the field of individual treatment effect estimation (ITE). ITE prediction models deployed in critical settings such as healthcare should ideally be (i) accurate, and (ii) provide faithful explanations. However, current solutio…