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20232026
most citedCausal Inference with Complex Treatments: A Survey

2 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2026

Invariant Causal Routing for Governing Social Norms in Online Market Economies

Xiangning Yu, Qirui Mi, Xiao Xue +4

Social norms are stable behavioral patterns that emerge endogenously within economic systems through repeated interactions among agents. In online market economies, such norms -- l…

stat.ML2026

Observationally Informed Adaptive Causal Experimental Design

Erdun Gao, Liang Zhang, Jake Fawkes +5

Randomized Controlled Trials (RCTs) represent the gold standard for causal inference yet remain a scarce resource. While large-scale observational data is often available, it is ut…

stat.ME2024★ 2 cited

Causal Inference with Complex Treatments: A Survey

Yingrong Wang, Haoxuan Li, Minqin Zhu +4

Causal inference plays an important role in explanatory analysis and decision making across various fields like statistics, marketing, health care, and education. Its main task is…

cs.LG2024

Pareto-Optimal Estimation and Policy Learning on Short-term and Long-term Treatment Effects

Yingrong Wang, Anpeng Wu, Haoxuan Li +5

This paper focuses on developing Pareto-optimal estimation and policy learning to identify the most effective treatment that maximizes the total reward from both short-term and lon…

cs.LG2023★ 1 cited

Hierarchical Topological Ordering with Conditional Independence Test for Limited Time Series

Anpeng Wu, Haoxuan Li, Kun Kuang +2

Learning directed acyclic graphs (DAGs) to identify causal relations underlying observational data is crucial but also poses significant challenges. Recently, topology-based method…