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stat.ML2019
Regret Analysis of Bandit Problems with Causal Background Knowledge
Yangyi Lu, Amirhossein Meisami, Ambuj Tewari +1
We study how to learn optimal interventions sequentially given causal information represented as a causal graph along with associated conditional distributions. Causal modeling is…
stat.ML2018
Dynamic Hierarchical Empirical Bayes: A Predictive Model Applied to Online Advertising
Yuan Yuan, Xiaojing Dong, Chen Dong +3
Predicting keywords performance, such as number of impressions, click-through rate (CTR), conversion rate (CVR), revenue per click (RPC), and cost per click (CPC), is critical for…