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Causal Inference on Multidimensional Data Using Free Probability Theory., и . IEEE Trans. Neural Networks Learn. Syst., 29 (7): 3188-3198 (2018)Generalizable Information Theoretic Causal Representation., , , , , , и . CoRR, (2022)DR-Label: Label Deconstruction and Reconstruction of GNN Models for Catalysis Systems., , , , , , , , , и . AAAI, стр. 15456-15465. AAAI Press, (2024)Learning Robust Classifier for Imbalanced Medical Image Dataset with Noisy Labels by Minimizing Invariant Risk., , , , , , и . MICCAI (6), том 14225 из Lecture Notes in Computer Science, стр. 306-316. Springer, (2023)Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning., , , , , , и . KDD, стр. 934-942. ACM, (2021)Deconfounded Value Decomposition for Multi-Agent Reinforcement Learning., , , , , , , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 12843-12856. PMLR, (2022)Causal Inference on Discrete Data via Estimating Distance Correlations., и . CoRR, (2018)Learning to select cuts for efficient mixed-integer programming., , , , , , , , и . Pattern Recognit., (2022)Debiased Recommendation with User Feature Balancing., , , , , , , , , и . ACM Trans. Inf. Syst., 41 (4): 114:1-114:25 (октября 2023)Unsupervised Feature Selection for Multi-cluster Data via Smooth Distributed Score., и . ICIC (3), том 304 из Communications in Computer and Information Science, стр. 74-79. Springer, (2012)