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Learning by Doing: Controlling a Dynamical System using Causality, Control, and Reinforcement Learning., , , , , , , , и . NeurIPS (Competition and Demos), том 176 из Proceedings of Machine Learning Research, стр. 246-258. PMLR, (2021)Regularizing towards Causal Invariance: Linear Models with Proxies., , , и . ICML, том 139 из Proceedings of Machine Learning Research, стр. 8260-8270. PMLR, (2021)Exploiting Independent Instruments: Identification and Distribution Generalization., , , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 18935-18958. PMLR, (2022)Elements of Causal Inference: Foundations and Learning Algorithms, , и . Adaptive Computation and Machine Learning MIT Press, Cambridge, MA, (2017)Counterfactual Reasoning and Learning Systems: The Example of Computational Advertising, , , , , , , , и . (2011)The Causal Chambers: Real Physical Systems as a Testbed for AI Methodology., , и . CoRR, (2024)Identifying Representations for Intervention Extrapolation., , , , и . CoRR, (2023)Boosted Control Functions., , , и . CoRR, (2023)Counterfactual Reasoning and Learning Systems, , , , , , , , и . CoRR, (2012)Causal inference by using invariant prediction: identification and confidence intervals, , и . (2016)