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Papers
MetaCaDI: A Meta-Learning Framework for Causal Discovery from Multiple Environments with Unknown Interventions
UAI 2026
Learning Unknown Intervention Targets in Structural Causal Models from Heterogeneous Data
AISTATS 2024
Towards the Reusability and Compositionality of Causal Representations
CLeaR 2024
BaCaDI: Bayesian Causal Discovery with Unknown Interventions
AISTATS 2023
Intervention target estimation in the presence of latent variables
UAI 2022
Scalable Intervention Target Estimation in Linear Models
NeurIPS 2021