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Papers
Multi-component Causal Tracing in Large Language Models
ACL 2026
When Selection Meets Intervention: Additional Complexities in Causal Discovery
ICLR 2025
Linear Causal Bandits: Unknown Graph and Soft Interventions
NeurIPS 2024
Causal Abstraction with Soft Interventions
CLeaR 2023
Causal Bandits for Linear Structural Equation Models
JMLR 2023
Identifiability Guarantees for Causal Disentanglement from Soft Interventions
NeurIPS 2023
Achieving Counterfactual Fairness for Causal Bandit
AAAI 2022
Learning soft interventions in complex equilibrium systems
UAI 2022
Causal Discovery from Soft Interventions with Unknown Targets: Characterization and Learning
NeurIPS 2020
Fair Multiple Decision Making Through Soft Interventions
NeurIPS 2020
General Transportability of Soft Interventions: Completeness Results
NeurIPS 2020
Characterization and Learning of Causal Graphs with Latent Variables from Soft Interventions
NeurIPS 2019
Identifying Best Interventions through Online Importance Sampling
ICML 2017