Hidden causal representation learning

In this section, we would like to introduce methods in hidden causal representation learning, such as generalized independent noise (GIN [1]) condition-based method.

Contents:

• Generalized Independence Noise (GIN) condition-based method
  • Algorithm Introduction
  • Usage
  • Parameters
  • Returns

[1]

Xie, F., Cai, R., Huang, B., Glymour, C., Hao, Z., & Zhang, K. (2020, January). Generalized Independent Noise Condition for Estimating Latent Variable Causal Graphs. In NeurIPS.