most citedAMAD: Adversarial Multiscale Anomaly Detection on High-Dimensional and Time-Evolving Categorical Data

2 citations · 2 across the 1 of their papers we have counts for

collaborators

2 papers

cs.LG2019★ 2 cited

AMAD: Adversarial Multiscale Anomaly Detection on High-Dimensional and Time-Evolving Categorical Data

Zheng Gao, Lin Guo, Chi Ma +6

Anomaly detection is facing with emerging challenges in many important industry domains, such as cyber security and online recommendation and advertising. The recent trend in these…

stat.ML2018

Entire Space Multi-Task Model: An Effective Approach for Estimating Post-Click Conversion Rate

Xiao Ma, Liqin Zhao, Guan Huang +4

Estimating post-click conversion rate (CVR) accurately is crucial for ranking systems in industrial applications such as recommendation and advertising. Conventional CVR modeling a…