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Just Ramp-up: Debiasing Regression-based Estimator for A/B Tests under Network Interference
Network interference complicates A/B testing on online platforms, such as social networks and marketplaces, where causal methods based on single experiments often suffer from significant bias due to complex interference patterns. This paper demonstrates the statistical benefits of merging data from
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