heavy-tailed-metrics

Researchers present a practical variance reduction framework combining post-stratification with CUPED for heavy-tailed monetization metrics in ranking experiments, deployed at ShareChat to achieve equivalent statistical confidence with 45% less traffic. The paper is accepted at SIGIR 2026.