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Causal Inference Through the Structural Causal Marginal Problem.

, , , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 7793-7824. PMLR, (2022)

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Causal Inference Through the Structural Causal Marginal Problem., , , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 7793-7824. PMLR, (2022)Probing the Robustness of Independent Mechanism Analysis for Representation Learning., , , , and . CoRR, (2022)Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style., , , , , , and . NeurIPS, page 16451-16467. (2021)Embrace the Gap: VAEs Perform Independent Mechanism Analysis., , , , , , , , and . NeurIPS, (2022)Private Causal Inference using Propensity Scores., , , and . CoRR, (2019)Orthogonal Structure Search for Efficient Causal Discovery from Observational Data., , , , and . CoRR, (2019)Independent mechanism analysis, a new concept?, , , , and . NeurIPS, page 28233-28248. (2021)Learning explanations that are hard to vary., , , , and . ICLR, OpenReview.net, (2021)The Incomplete Rosetta Stone problem: Identifiability results for Multi-view Nonlinear ICA., , , , and . UAI, volume 115 of Proceedings of Machine Learning Research, page 217-227. AUAI Press, (2019)Learning Identifiable Representations: Independent Influences and Multiple Views. Tübingen University, Germany, (2023)base-search.net (ftunivtuebing:oai:publikationen.uni-tuebingen.de:10900/148184).