5 papers
Double machine learning to estimate the effects of multiple treatments and their interactions
Qingyan Xiang, Yubai Yuan, Dongyuan Song +4
Causal inference literature has extensively focused on binary treatments, with relatively fewer methods developed for multi-valued treatments. In particular, methods for multiple s…
Individualized Dynamic Mediation Analysis Using Latent Factor Models
Yijiao Zhang, Yubai Yuan, Yuexia Zhang +2
Mediation analysis plays a crucial role in causal inference as it can investigate the pathways through which treatment influences outcome. Most existing mediation analysis assumes…
Scalable Sample-to-Population Estimation of Hyperbolic Space Models for Hypergraphs
Cornelius Fritz, Yubai Yuan, Michael Schweinberger
Hypergraphs are useful mathematical representations of overlapping and nested subsets of interacting units, including groups of genes or brain regions, economic cartels, political…
Distributional Treatment Effect Estimation across Heterogeneous Sites via Optimal Transport
Borna Bateni, Yubai Yuan, Qi Xu +1
We propose a novel framework for synthesizing counterfactual treatment group data in a target site by integrating full treatment and control group data from a source site with cont…
Inferring Diffusion Structures of Heterogeneous Network Cascade
Yubai Yuan, Siyu Huang, Abdul Basit Adeel
Network cascade refers to diffusion processes in which outcome changes within part of an interconnected population trigger a sequence of changes across the entire network. These ca…