Clustering-based Imputation for Dropout Buyers in Large-scale Online Experimentation

no code implementations • 9 Sep 2022 • Sumin Shen, Huiying Mao, Zezhong Zhang, Zili Chen, Keyu Nie, Xinwei Deng

In online experimentation, appropriate metrics (e. g., purchase) provide strong evidence to support hypotheses and enhance the decision-making process.

Clustering Decision Making +1

Moving Metric Detection and Alerting System at eBay

no code implementations • 6 Apr 2020 • Zezhong Zhang, Keyu Nie, Ted Tao Yuan

At eBay, there are thousands of product health metrics for different domain teams to monitor.

Anomaly Detection Retrieval +1

Efficient Multivariate Bandit Algorithm with Path Planning

no code implementations • 6 Sep 2019 • Keyu Nie, Zezhong Zhang, Ted Tao Yuan, Rong Song, Pauline Berry Burke

In this paper, we solve the arms exponential exploding issue in multivariate Multi-Armed Bandit (Multivariate-MAB) problem when the arm dimension hierarchy is considered.

Thompson Sampling