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Yonghan Jung, Jin Tian, Elias Bareinboim:
Unified Covariate Adjustment for Causal Inference.
NeurIPS 2024
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Hyunchai Jeong, Adiba Ejaz, Jin Tian, Elias Bareinboim:
Testing Causal Models with Hidden Variables in Polynomial Delay via Conditional Independencies.
CoRR abs/2409.14593 (2024)
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Tara V. Anand, Adèle H. Ribeiro, Jin Tian, Elias Bareinboim:
Causal Effect Identification in Cluster DAGs.
AAAI 2023: 12172-12179
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Yonghan Jung, Jin Tian, Elias Bareinboim:
Estimating Joint Treatment Effects by Combining Multiple Experiments.
ICML 2023: 15451-15527
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Yonghan Jung, Ivan Diaz, Jin Tian, Elias Bareinboim:
Estimating Causal Effects Identifiable from a Combination of Observations and Experiments.
NeurIPS 2023
