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Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions.

, , , , , и . NeurIPS, стр. 10869-10879. (2018)

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A Bayesian Approach for Inferring Local Causal Structure in Gene Regulatory Networks., , , и . PGM, том 72 из Proceedings of Machine Learning Research, стр. 37-48. PMLR, (2018)Beyond the Markov Equivalence Class: Extending Causal Discovery under Latent Confounding., , , и . CLeaR, том 213 из Proceedings of Machine Learning Research, стр. 707-725. PMLR, (2023)Causal Shapley Values: Exploiting Causal Knowledge to Explain Individual Predictions of Complex Models., , , и . NeurIPS, (2020)Bayesian Probabilities for Constraint-Based Causal Discovery., и . IJCAI, стр. 2992-2996. IJCAI/AAAI, (2013)Constraint-Based Causal Discovery using Partial Ancestral Graphs in the presence of Cycles., и . UAI, том 124 из Proceedings of Machine Learning Research, стр. 1159-1168. AUAI Press, (2020)Spectral Ranking of Causal Influence in Complex Systems., , и . CoRR, (2020)Computing Lower and Upper Bounds on the Probability of Causal Statements., , , , и . Probabilistic Graphical Models, том 52 из JMLR Workshop and Conference Proceedings, стр. 487-498. JMLR.org, (2016)Robust Causal Estimation in the Large-Sample Limit without Strict Faithfulness., , и . AISTATS, том 54 из Proceedings of Machine Learning Research, стр. 1523-1531. PMLR, (2017)Causal Discovery from Databases with Discrete and Continuous Variables., , , и . Probabilistic Graphical Models, том 8754 из Lecture Notes in Computer Science, стр. 442-457. Springer, (2014)Causal Transfer Learning., , , , , и . CoRR, (2017)