# 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.