Alimama Tech
Sep 11, 2024 · Artificial Intelligence
A Generative Approach for Treatment Effect Estimation under Collider Bias: From an Out-of-Distribution Perspective
The paper introduces a coupled generative adversarial framework that merges biased observational with unbiased experimental data to create a bias‑free dataset for causal inference, enabling robust treatment‑effect estimation under collider bias from an out‑of‑distribution perspective, and demonstrates superior bias reduction on three public advertising datasets.
Generative Adversarial Networksadvertisingcausal inference
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