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Elements of Causal Inference: Foundations and Learning Algorithms

, , and . Adaptive Computation and Machine Learning MIT Press, Cambridge, MA, (2017)

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Elements of Causal Inference: Foundations and Learning Algorithms, , and . Adaptive Computation and Machine Learning MIT Press, Cambridge, MA, (2017)Counterfactual Reasoning and Learning Systems: The Example of Computational Advertising, , , , , , , , and . (2011)Identifying Representations for Intervention Extrapolation., , , , and . CoRR, (2023)Boosted Control Functions., , , and . CoRR, (2023)Learning by Doing: Controlling a Dynamical System using Causality, Control, and Reinforcement Learning., , , , , , , , and . NeurIPS (Competition and Demos), volume 176 of Proceedings of Machine Learning Research, page 246-258. PMLR, (2021)Regularizing towards Causal Invariance: Linear Models with Proxies., , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 8260-8270. PMLR, (2021)Exploiting Independent Instruments: Identification and Distribution Generalization., , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 18935-18958. PMLR, (2022)Structure Learning for Directed Trees., , , and . J. Mach. Learn. Res., (2022)Causal discovery with continuous additive noise models., , , and . J. Mach. Learn. Res., 15 (1): 2009-2053 (2014)Distinguishing Cause from Effect Using Observational Data: Methods and Benchmarks., , , , and . J. Mach. Learn. Res., (2016)