6 citations · 12 across the 4 of their papers we have counts for
Showing 2019Show all
2 papers · 1 filter
econ.EM2019★ 3 cited
Group Average Treatment Effects for Observational Studies
Daniel Jacob
The paper proposes an estimator to make inference of heterogeneous treatment effects sorted by impact groups (GATES) for non-randomised experiments. The groups can be understood as…
cs.LG2019★ 3 cited
Affordable Uplift: Supervised Randomization in Controlled Experiments
Johannes Haupt, Daniel Jacob, Robin M. Gubela +1
Customer scoring models are the core of scalable direct marketing. Uplift models provide an estimate of the incremental benefit from a treatment that is used for operational decisi…