Causal Effect Identification by Adjustment under Confounding and Selection Biases. - Juan D. Correa; Elias Bareinboim (AAAI, 2017)

Generalized Adjustment Under Confounding and Selection Biases. - Juan D. Correa; Jin Tian 001; Elias Bareinboim (AAAI, 2018)

Identification of Causal Effects in the Presence of Selection Bias. - Juan D. Correa; Jin Tian 001; Elias Bareinboim (AAAI, 2019)

Adjustment Criteria for Generalizing Experimental Findings. - Juan D. Correa; Jin Tian 001; Elias Bareinboim (ICML, 2019)

From Statistical Transportability to Estimating the Effect of Stochastic Interventions. - Juan D. Correa; Elias Bareinboim (IJCAI, 2019)

General Identifiability with Arbitrary Surrogate Experiments. - Sanghack Lee; Juan D. Correa; Elias Bareinboim (UAI, 2019)

A Calculus for Stochastic Interventions: Causal Effect Identification and Surrogate Experiments. - Juan D. Correa; Elias Bareinboim (AAAI, 2020)

Identifiability from a Combination of Observations and Experiments. - Sanghack Lee; Juan D. Correa; Elias Bareinboim (AAAI, 2020)

General Transportability - Synthesizing Observations and Experiments from Heterogeneous Domains. - Sanghack Lee; Juan D. Correa; Elias Bareinboim (AAAI, 2020)

General Transportability of Soft Interventions: Completeness Results. - Juan D. Correa; Elias Bareinboim (NeurIPS, 2020)

Nested Counterfactual Identification from Arbitrary Surrogate Experiments. - Juan D. Correa; Sanghack Lee; Elias Bareinboim (NeurIPS, 2021)

On Pearl's Hierarchy and the Foundations of Causal Inference. - Elias Bareinboim; Juan D. Correa; Duligur Ibeling; Thomas Icard (Probabilistic and Causal Inference, 2022)

Counterfactual Transportability: A Formal Approach. - Juan D. Correa; Sanghack Lee; Elias Bareinboim (ICML, 2022)