OC-DeepIV combines interaction terms and orthogonal regularization, but its evaluation is circular and omits an outcome variable, so the reported causal effect estimates are not valid.
These methods have opened new technical avenues for high-dimensional causal inference, addressing many modelling challenges in real-world data
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Orthogonality-Constrained Deep Instrumental Variable Model for Causal Effect Estimation
OC-DeepIV combines interaction terms and orthogonal regularization, but its evaluation is circular and omits an outcome variable, so the reported causal effect estimates are not valid.