2 papers
stat.ME2026
Barycentric Fused Gromov-Wasserstein Balancing for Causal Inference under Multiple Treatments
Yuki Murakami, Takumi Hattori, Kohsuke Kubota
Estimating heterogeneous single and interaction treatment effects from observational data under multiple simultaneous treatments is crucial for decision-making. To mitigate estimat…
stat.ME2025
Multiple Treatments Causal Effects Estimation with Task Embeddings and Balanced Representation Learning
Yuki Murakami, Takumi Hattori, Kohsuke Kubota
The simultaneous application of multiple treatments is increasingly common in many fields, such as healthcare and marketing. In such scenarios, it is important to estimate the sing…