Qiheng Sun

Data-faithful Feature Attribution: Mitigating Unobservable Confounders via Instrumental Variables

The state-of-the-art feature attribution methods often neglect the influence of unobservable confounders, posing a risk of misinterpretation, especially when it is crucial for the interpretation to remain faithful to the data. To counteract this, we propose a new approach, data-faithful feature attr…