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Interventional Causal Representation Learning.

, , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 372-407. PMLR, (2023)

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Conditionally independent data generation., , , , , and . UAI, volume 161 of Proceedings of Machine Learning Research, page 2050-2060. AUAI Press, (2021)Finding Valid Adjustments under Non-ignorability with Minimal DAG Knowledge., , and . CoRR, (2021)Adversarial Feature Desensitization., , , , , , , and . NeurIPS, page 10665-10677. (2021)Can Subnetwork Structure Be the Key to Out-of-Distribution Generalization?, , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 12356-12367. PMLR, (2021)Interventional Causal Representation Learning., , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 372-407. PMLR, (2023)Properties from mechanisms: an equivariance perspective on identifiable representation learning., , and . ICLR, OpenReview.net, (2022)Multi-Domain Causal Representation Learning via Weak Distributional Invariances., , and . AISTATS, volume 238 of Proceedings of Machine Learning Research, page 865-873. PMLR, (2024)Empirical or Invariant Risk Minimization? A Sample Complexity Perspective., , , , and . ICLR, OpenReview.net, (2021)Treatment Effect Estimation Using Invariant Risk Minimization., , , , , and . ICASSP, page 5005-5009. IEEE, (2021)Joint Concordance Index., and . ACSSC, page 2206-2213. IEEE, (2019)