2 papers
cs.AI2026
Design Once, Deploy at Scale: Template-Driven ML Development for Large Model Ecosystems
Jiang Liu, John Martabano Landy, Yao Xuan +14
Modern computational advertising platforms typically rely on recommendation systems to predict user responses, such as click-through rates, conversion rates, and other optimization…
stat.AP2016
Continuous Monitoring of A/B Tests without Pain: Optional Stopping in Bayesian Testing
Alex Deng, Jiannan Lu, Shouyuan Chen
A/B testing is one of the most successful applications of statistical theory in modern Internet age. One problem of Null Hypothesis Statistical Testing (NHST), the backbone of A/B…