Develops scalable clustering methods for network-aware A/B testing in two-sided markets that cut spillover while boosting sample size and power, plus a theoretical bias correction.
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Scalable Network-Aware Experiment Design for Two-Sided Marketplaces
Develops scalable clustering methods for network-aware A/B testing in two-sided markets that cut spillover while boosting sample size and power, plus a theoretical bias correction.