treatment effects
The impact of an intervention or action on an outcome variable, essential in causal inference and evaluation of AI systems in decision-support contexts.
- Adaptive Data-Borrowing for Improving Treatment Effect Estimation using External Controls
- Bi-Level Decision-Focused Causal Learning for Large-Scale Marketing Optimization: Bridging Observational and Experimental Data
- Coupling Generative Modeling and an Autoencoder with the Causal Bridge
- Estimation of Treatment Effects in Extreme and Unobserved Data
- LLM-Driven Treatment Effect Estimation Under Inference Time Text Confounding
- Online Experimental Design With Estimation-Regret Trade-off Under Network Interference
- Optimal Adjustment Sets for Nonparametric Estimation of Weighted Controlled Direct Effect