| 2025 | ICML | Counterfactual Graphical Models: Constraints and Inference. | Juan D. Correa, Elias Bareinboim |
| 2022 | ICML | Counterfactual Transportability: A Formal Approach. | Juan D. Correa, Sanghack Lee, Elias Bareinboim |
| 2020 | AAAI | A Calculus for Stochastic Interventions: Causal Effect Identification and Surrogate Experiments. | Juan D. Correa, Elias Bareinboim |
| 2020 | AAAI | Identifiability from a Combination of Observations and Experiments. | Sanghack Lee, Juan D. Correa, Elias Bareinboim |
| 2020 | AAAI | General Transportability - Synthesizing Observations and Experiments from Heterogeneous Domains. | Sanghack Lee, Juan D. Correa, Elias Bareinboim |
| 2019 | AAAI | Identification of Causal Effects in the Presence of Selection Bias. | Juan D. Correa, Jin Tian, Elias Bareinboim |
| 2019 | ICML | Adjustment Criteria for Generalizing Experimental Findings. | Juan D. Correa, Jin Tian, Elias Bareinboim |
| 2019 | IJCAI | From Statistical Transportability to Estimating the Effect of Stochastic Interventions. | Juan D. Correa, Elias Bareinboim |
| 2019 | UAI | General Identifiability with Arbitrary Surrogate Experiments. | Sanghack Lee, Juan D. Correa, Elias Bareinboim |
| 2018 | AAAI | Generalized Adjustment Under Confounding and Selection Biases. | Juan D. Correa, Jin Tian, Elias Bareinboim |
| 2017 | AAAI | Causal Effect Identification by Adjustment under Confounding and Selection Biases. | Juan D. Correa, Elias Bareinboim |