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Active learning for optimal intervention design in causal models.

, , , , и . Nat. Mac. Intell., 5 (10): 1066-1075 (октября 2023)

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Angela Chandler

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Rebecca Chandler-Wilde

 

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Causal Imputation via Synthetic Interventions., , , , и . CLeaR, том 177 из Proceedings of Machine Learning Research, стр. 688-711. PMLR, (2022)Active Learning for Optimal Intervention Design in Causal Models., , , , и . CoRR, (2022)ABCD-Strategy: Budgeted Experimental Design for Targeted Causal Structure Discovery., , , , и . AISTATS, том 89 из Proceedings of Machine Learning Research, стр. 3400-3409. PMLR, (2019)Permutation-Based Causal Structure Learning with Unknown Intervention Targets., , и . UAI, том 124 из Proceedings of Machine Learning Research, стр. 1039-1048. AUAI Press, (2020)Causal Imputation for Counterfactual SCMs: Bridging Graphs and Latent Factor Models., , и . CLeaR, том 236 из Proceedings of Machine Learning Research, стр. 1141-1175. PMLR, (2024)Efficient Permutation Discovery in Causal DAGs., , и . CoRR, (2020)Direct Estimation of Differences in Causal Graphs., , , и . NeurIPS, стр. 3774-3785. (2018)Size of Interventional Markov Equivalence Classes in random DAG models., , , и . AISTATS, том 89 из Proceedings of Machine Learning Research, стр. 3234-3243. PMLR, (2019)Active Structure Learning of Causal DAGs via Directed Clique Tree., , , , , и . CoRR, (2020)Causal Structure Discovery between Clusters of Nodes Induced by Latent Factors., , , , и . CLeaR, том 177 из Proceedings of Machine Learning Research, стр. 669-687. PMLR, (2022)