Identification of Average Causal Effects in Confounded Additive Noise Models

Muhammad Qasim Elahi, Mahsa Ghasemi, Murat Kocaoglu

Additive noise models (ANMs) are an important setting studied in causal inference. Most of the existing works on ANMs assume causal sufficiency, i.e., there are no unobserved confo…