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Synergies between Disentanglement and Sparsity: Generalization and Identifiability in Multi-Task Learning.

, , , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 18171-18206. PMLR, (2023)

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Interventional Causal Representation Learning., , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 372-407. PMLR, (2023)Domain Generalization using Causal Matching., , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 7313-7324. PMLR, (2021)A Generative Framework for Zero-Shot Learning with Adversarial Domain Adaptation., , , , and . WACV, page 3090-3099. IEEE, (2020)Towards Unifying Feature Attribution and Counterfactual Explanations: Different Means to the Same End., , , and . CoRR, (2020)Evaluating Interventional Reasoning Capabilities of Large Language Models., , , , and . CoRR, (2024)Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers., , and . CoRR, (2019)Split-Treatment Analysis to Rank Heterogeneous Causal Effects for Prospective Interventions., , , , and . CoRR, (2020)Towards efficient representation identification in supervised learning., , , and . CLeaR, volume 177 of Proceedings of Machine Learning Research, page 19-43. PMLR, (2022)Interventional Causal Representation Learning., , , and . CoRR, (2022)Split-Treatment Analysis to Rank Heterogeneous Causal Effects for Prospective Interventions., , , , and . WSDM, page 409-417. ACM, (2021)