DataFunSummit
May 25, 2024 · Artificial Intelligence
Debiased Deep Learning and Double Machine Learning for Multi‑Experiment Causal Inference
This article presents a novel approach that combines debiased deep learning with double machine learning to estimate and infer average treatment effects across multiple simultaneous online experiments, detailing problem definition, a semi‑parametric theoretical framework, and extensive field‑experiment validation on a large video‑platform dataset.
ATE estimationcausal inferencedeep learning
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