16 citations · 31 across the 8 of their papers we have counts for
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stat.ME2026
Learning a directed acyclic graph with additive heteroscedastic errors
Xintao Xia, Li Chen, Yue Hu +1
This paper studies causal discovery for a directed acyclic graph under a structural equation model with additive heteroscedastic errors. We first establish new identifiability resu…
stat.ME2026
Stable Causal Discovery via Directed Acyclic Graph Aggregation
Yunan Wu, Yue Wang, Chunlin Li +1
Directed Acyclic Graphs (DAGs) are central to uncovering causal structure in complex systems, yet learning a single DAG from data is often challenging: model uncertainty, finite sa…
stat.ML2026
TabCF: Distributional Control Function Estimation with Tabular Foundation Models
Geping Chen, Chunlin Li, Tianzhong Yang +2
Instrumental variable (IV) and control function (CF) methods are powerful tools for causal effect estimation in the presence of unmeasured confounding, yet most existing approaches…