A survey of deep causal models and their industrial applications
Zongyu Li,
Xiaobo Guo,
Siwei Qiang
Abstract:The notion of causality assumes a paramount position within the realm of human cognition. Over the past few decades, there has been significant advancement in the domain of causal effect estimation across various disciplines, including but not limited to computer science, medicine, economics, and industrial applications. Given the continous advancements in deep learning methodologies, there has been a notable surge in its utilization for the estimation of causal effects using counterfactual data. Typically, de… Show more
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