#representation-learning

4 notes

• CEVAE (Causal Effect Variational Autoencoder) A method that uses a VAE to infer latent confounders and estimate causal effects.
• CFR (Counterfactual Regression) A deep learning method that learns balanced representations via IPM (Integral Probability Metric) regularization
• ESMM (Entire Space Multi-Task Model) A multi-task model that addresses CVR's Sample Selection Bias and Data Sparsity problems simultaneously by exploiting the sequential user behavior $\text{impression} \to \text{click} \to \text{conversion}$ to learn CVR indirectly over the entire impression space.
• Representation Learning Overview Methods for learning representations that are independent of treatment while remaining useful for outcome prediction.