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Generalized Independent Noise Condition for Estimating Causal Structure with Latent Variables., , , , , , and . CoRR, (2023)Identification of Time-Dependent Causal Model: A Gaussian Process Treatment., , and . IJCAI, page 3561-3568. AAAI Press, (2015)ACAMDA: Improving Data Efficiency in Reinforcement Learning through Guided Counterfactual Data Augmentation., , , , , , and . AAAI, page 15193-15201. AAAI Press, (2024)Generalized Independent Noise Condition for Estimating Latent Variable Causal Graphs., , , , , and . NeurIPS, (2020)Domain Adaptation as a Problem of Inference on Graphical Models., , , , , and . NeurIPS, (2020)Causal Discovery with Mixed Linear and Nonlinear Additive Noise Models: A Scalable Approach., , , , , and . CLeaR, volume 236 of Proceedings of Machine Learning Research, page 1237-1263. PMLR, (2024)A Versatile Causal Discovery Framework to Allow Causally-Related Hidden Variables., , , , , , , , and . CoRR, (2023)Advancing Counterfactual Inference through Quantile Regression., , , , and . CoRR, (2023)Sample-Efficient Reinforcement Learning via Counterfactual-Based Data Augmentation., , , , , and . CoRR, (2020)Action-Sufficient State Representation Learning for Control with Structural Constraints., , , , , , and . CoRR, (2021)