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Papers
GAHMN: A Generative Approach for High-Dimensional Mediation Analysis
AAAI 2026
Proximal Identification and Estimation in Front-Door Causal Structures with Unobserved Confounding of the Mediator
UAI 2026
Double Debiased Machine Learning for Mediation Analysis with Continuous Treatments
AISTATS 2025
Mediation Analysis for Probabilities of Causation
AAAI 2025
Alternative Measures of Direct and Indirect Effects
PGM 2024
Making Reasoning Matter: Measuring and Improving Faithfulness of Chain-of-Thought Reasoning
EMNLP 2024
A Causal Framework for Decomposing Spurious Variations
NeurIPS 2023
AMDP: An Adaptive Detection Procedure for False Discovery Rate Control in High-Dimensional Mediation Analysis
NeurIPS 2023
A Reinforcement Learning Framework for Dynamic Mediation Analysis
ICML 2023
PWSHAP: A Path-Wise Explanation Model for Targeted Variables
ICML 2023
Sharp Bounds for Generalized Causal Sensitivity Analysis
NeurIPS 2023
Reinforcement Learning of Causal Variables Using Mediation Analysis
AAAI 2022
Flow-based Attribution in Graphical Models: A Recursive Shapley Approach
ICML 2021
Nested Counterfactual Identification from Arbitrary Surrogate Experiments
NeurIPS 2021
Operationalizing Complex Causes: A Pragmatic View of Mediation
ICML 2021
Exploring Logically Dependent Multi-task Learning with Causal Inference
EMNLP 2020
A Potential Outcomes Calculus for Identifying Conditional Path-Specific Effects
AISTATS 2019