2 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.LG2020★ 2 cited
Learning Continuous Treatment Policy and Bipartite Embeddings for Matching with Heterogeneous Causal Effects
Will Y. Zou, Smitha Shyam, Michael Mui +3
Causal inference methods are widely applied in the fields of medicine, policy, and economics. Central to these applications is the estimation of treatment effects to make decisions…
cs.LG2020★ 2 cited
Heterogeneous Causal Learning for Effectiveness Optimization in User Marketing
Will Y. Zou, Shuyang Du, James Lee +1
User marketing is a key focus of consumer-based internet companies. Learning algorithms are effective to optimize marketing campaigns which increase user engagement, and facilitate…