Long-Term Individual Causal Effect Estimation via Identifiable Latent Representation Learning(IJCA-2025)

arxiv link:https://arxiv.org/pdf/2505.05192

run icevae on Complete Graph(Synthetic 1)

Please run ICEVAE_using_our_Synthetic_dataset.py:

python ./experiment_case/Complete_Graph_experimental/ICEVAE_using_our_Synthetic_dataset.py

run icevae on latent_con Graph(Synthetic 2)

Please run ICEVAE_using_our_Synthetic_dataset_without_Z2Y.py:

python ./experiment_case/Susan_Assumption_experiment/ICEVAE_using_our_Synthetic_dataset_without_Z2Y.py

run icevae on Equ_con Graph(Synthetic 3)

Please run ICEVAE_using_our_Synthetic_dataset_equ_ver.py:

python ./experiment_case/Dif_Beta_Exp/ICEVAE_using_our_Synthetic_dataset_equ_ver.py

run icevae on Dif_Beta_Exp Complete Graph(Synthetic 4)

Please run ICEVAE_using_our_Synthetic_dataset_Dif.py:

python ./experiment_case/Dif_Beta_Exp/ICEVAE_using_our_Synthetic_dataset_Dif.py

run icevae on on TWINS:

Please run ICEVAE_using_semi_Synethic_data_TWINs.py:

python ./experiment_case/ICEVAE_using_semi_Synethic_data_TWINs.py

run icevae on IHDP:

Please run ICEVAE_using_semi_Synthetic_data_IHDP.py:

python ./experiment_case/ICEVAE_using_semi_Synthetic_data_IHDP.py

run icevae on Complete Graph and get MCC (Synthetic 5)

Please run verify_id_of_z_MCC.py:

python ./250113testMCC_PDF/verify_id_of_z_MCC.py

citation

If you find our codes useful, please cite:

Cai R, Wan J, Chen W, et al. Long-Term Individual Causal Effect Estimation via Identifiable Latent Representation Learning[J]. arXiv preprint arXiv:2505.05192, 2025.