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Papers
Counterfactual Generative Modeling with Variational Causal Inference
ICLR 2025
On the Representation of Pairwise Causal Background Knowledge and Its Applications in Causal Inference
JMLR 2025
Optimal Experiment Design for Causal Effect Identification
JMLR 2025
Causal Effect Identification in a Sub-Population with Latent Variables
NeurIPS 2024
Fast Proxy Experiment Design for Causal Effect Identification
NeurIPS 2024
Identifying Causal Effects Under Functional Dependencies
NeurIPS 2024
s-ID: Causal Effect Identification in a Sub-population
AAAI 2024
Causal Effect Identification in Cluster DAGs
AAAI 2023
Estimating Possible Causal Effects with Latent Variables via Adjustment
ICML 2023
Causal Effect Identification with Context-specific Independence Relations of Control Variables
AISTATS 2022
A Calculus for Stochastic Interventions:Causal Effect Identification and Surrogate Experiments
AAAI 2020
Efficient Identification in Linear Structural Causal Models with Auxiliary Cutsets
ICML 2020
Identification of Causal Effects in the Presence of Selection Bias
AAAI 2019
Identifying Causal Effects via Context-specific Independence Relations
NeurIPS 2019