Sai Srinivas Kancheti

Matching Learned Causal Effects of Neural Networks with Domain Priors

A trained neural network can be interpreted as a structural causal model (SCM) that provides the effect of changing input variables on the model’s output. However, if training data contains both causal and correlational relationships, a model that optimizes prediction accuracy may not necessarily le…