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Environment inference for invariant learning

, , and . International Conference on Machine Learning, page 2189--2200. PMLR, (2021)

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SurfsUp: Learning Fluid Simulation for Novel Surfaces., , , , and . ICCV, page 14179-14189. IEEE, (2023)Fairness through Causal Awareness: Learning Causal Latent-Variable Models for Biased Data., , , and . FAT, page 349-358. ACM, (2019)MoCoDA: Model-based Counterfactual Data Augmentation., , , and . NeurIPS, (2022)Fairness and Robustness in Invariant Learning: A Case Study in Toxicity Classification., , , and . CoRR, (2020)On Disentangled Representations Learned from Correlated Data., , , , , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 10401-10412. PMLR, (2021)Causal Modeling for Fairness In Dynamical Systems., , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 2185-2195. PMLR, (2020)Gradient-based Optimization of Neural Network Architecture., , , and . ICLR (Workshop), OpenReview.net, (2018)Flexibly Fair Representation Learning by Disentanglement., , , , , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 1436-1445. PMLR, (2019)Nonnegative Tensor Factorization with Frequency Modulation Cues for Blind Audio Source Separation., , , and . ISMIR, page 211-217. (2016)Learning Adversarially Fair and Transferable Representations., , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 3381-3390. PMLR, (2018)