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Found 3 papers, 2 papers with code
Maximizing the Success Probability of Policy Allocations in Online Systems
The effectiveness of advertising in e-commerce largely depends on the ability of merchants to bid on and win impressions for their targeted users.
A Large Scale Benchmark for Individual Treatment Effect Prediction and Uplift Modeling
Individual Treatment Effect (ITE) prediction is an important area of research in machine learning which aims at explaining and estimating the causal impact of an action at the granular level.
Treatment Targeting by AUUC Maximization with Generalization Guarantees
In real life scenarios, when we do not have access to ground-truth individual treatment effect, the capacity of models to do so is generally measured by the Area Under the Uplift Curve (AUUC), a metric that differs from the learning objectives of most of the Individual Treatment Effect (ITE) models.
