18 citations · 25 across the 5 of their papers we have counts for
5 papers
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…
A Blended Deep Learning Approach for Predicting User Intended Actions
Fei Tan, Zhi Wei, Jun He +4
User intended actions are widely seen in many areas. Forecasting these actions and taking proactive measures to optimize business outcome is a crucial step towards sustaining the s…
Equivalence Test in Multi-dimensional Space with Applications in A/B Testing
Jing Miao, Hongyuan Yuan, Zhenyu Yan
In this paper, we provide a statistical testing framework to check whether a random sample splitting in a multi-dimensional space is carried out in a valid way, which could be dire…
Deep Neural Net with Attention for Multi-channel Multi-touch Attribution
Ning li, Sai Kumar Arava, Chen Dong +2
Customers are usually exposed to online digital advertisement channels, such as email marketing, display advertising, paid search engine marketing, along their way to purchase or s…
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…