2025
Learning Identifiable Structures Helps Avoid Bias in DNN-based Supervised Causal Learning
AISTATS 2025poster
Causal discovery is a structured prediction task that aims to predict causal relations among variables based on their data samples. Supervised Causal Learning (SCL) is an emerging paradigm in this field. Existing Deep Neural Network (DNN)-based methods commonly adopt the “Node-Edge approach”, in whi…