Adversarial Orthogonal Regression: Two non-Linear Regressions for Causal Inference

no code implementations • 10 Sep 2019 • M. Reza Heydari, Saber Salehkaleybar, Kun Zhang

We propose two nonlinear regression methods, named Adversarial Orthogonal Regression (AdOR) for additive noise models and Adversarial Orthogonal Structural Equation Model (AdOSE) for the general case of structural equation models.

Causal Inference regression +1