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Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition., , , , , , и . ACM Trans. Knowl. Discov. Data, 16 (4): 74:1-74:20 (2022)Causal Distillation for Alleviating Performance Heterogeneity in Recommender Systems., , , , , , , , , и . IEEE Trans. Knowl. Data Eng., 36 (2): 459-474 (февраля 2024)Learning Domain-Invariant Relationship with Instrumental Variable for Domain Generalization., , , , , и . CoRR, (2021)Domain-Specific Bias Filtering for Single Labeled Domain Generalization., , , , , и . CoRR, (2021)Domain Generalization via Contrastive Causal Learning., , и . CoRR, (2022)Exploiting Contrastive Learning and Numerical Evidence for Improving Confusing Legal Judgment Prediction., , , , и . CoRR, (2022)Distributionally Robust Learning with Stable Adversarial Training., , , , , и . CoRR, (2021)Semi-supervised Active Learning for Semi-supervised Models: Exploit Adversarial Examples with Graph-based Virtual Labels., , , , , , , , и . ICCV, стр. 2876-2885. IEEE, (2021)Stable Prediction on Graphs with Agnostic Distribution Shifts., , , , , , , , , и . CDPD, том 218 из Proceedings of Machine Learning Research, стр. 49-74. PMLR, (2023)Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning., , , , , , и . KDD, стр. 934-942. ACM, (2021)