ICAIF

Counterfactual explanation has been the core of interpretable machine learning, which requires a trained model to be able to not only infer but also justify its inference. This problem is crucial in many fields, such as fintech and the healthcare ...

With the dramatic development of deep learning in the past decade, interpretability has been one of the most important challenges that often prevents neural networks from being applied to fields such as finance. Among many existing explainable analyses,...