Anpeng Wu

RETIMECAUSAL: A CONSISTENT EM FRAMEWORK FOR CAUSAL DISCOVERY IN IRREGULAR TIME SERIES

Identification and Estimation of Treatment Effects under Coupled Confounding and Collider Biases

Journey to the Centre of Cluster: Harnessing Interior Nodes for A/B Testing under Network Interference

Generalized Encouragement-Based Instrumental Variables for Counterfactual Regression

Should Bias be Eliminated? A General Framework to Use Bias for OOD Generalization

Invariant Deep Uplift Modeling for Incentive Assignment in Online Marketing via Probability of Necessity and Sufficiency

Generalizing Causal Effects from Randomized Controlled Trials to Target Populations across Diverse Environments

Causal Graph Transformer for Treatment Effect Estimation Under Unknown Interference

Rethinking Causal Ranking: A Balanced Perspective on Uplift Model Evaluation