A Review and Roadmap of Deep Learning Causal Discovery in Different Variable Paradigms
不同变量范式下深度学习因果发现的综述与路线图
Understanding causality helps to structure interventions to achieve specific goals and enables predictions under interventions. With the growing importance of learning causal relationships, causal discovery tasks have transitioned from using traditional methods to infer potential causal structures from observational data to the field of pattern recognition involved in deep learning. The rapid accumulation of massive data promotes the emergence of causal search methods with…