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Causal Shapley Values: Exploiting Causal Knowledge to Explain Individual Predictions of Complex Models.

, , , and . NeurIPS, (2020)

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A Bayesian Approach for Inferring Local Causal Structure in Gene Regulatory Networks., , , and . PGM, volume 72 of Proceedings of Machine Learning Research, page 37-48. PMLR, (2018)Joint Causal Inference from Multiple Contexts., , and . J. Mach. Learn. Res., (2020)Beyond the Markov Equivalence Class: Extending Causal Discovery under Latent Confounding., , , and . CLeaR, volume 213 of Proceedings of Machine Learning Research, page 707-725. PMLR, (2023)Constraint-Based Causal Discovery using Partial Ancestral Graphs in the presence of Cycles., and . UAI, volume 124 of Proceedings of Machine Learning Research, page 1159-1168. AUAI Press, (2020)Causal Shapley Values: Exploiting Causal Knowledge to Explain Individual Predictions of Complex Models., , , and . NeurIPS, (2020)Bayesian Probabilities for Constraint-Based Causal Discovery., and . IJCAI, page 2992-2996. IJCAI/AAAI, (2013)Joint Causal Inference on Observational and Experimental Datasets., , and . CoRR, (2016)Robust Causal Estimation in the Large-Sample Limit without Strict Faithfulness., , and . AISTATS, volume 54 of Proceedings of Machine Learning Research, page 1523-1531. PMLR, (2017)Computing Lower and Upper Bounds on the Probability of Causal Statements., , , , and . Probabilistic Graphical Models, volume 52 of JMLR Workshop and Conference Proceedings, page 487-498. JMLR.org, (2016)Spectral Ranking of Causal Influence in Complex Systems., , and . CoRR, (2020)