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A Theoretical Analysis on Independence-driven Importance Weighting for Covariate-shift Generalization.

, , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 24803-24829. PMLR, (2022)

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Distributionally Robust Learning with Stable Adversarial Training., , , , , and . CoRR, (2021)Stable Learning via Sample Reweighting., , , and . AAAI, page 5692-5699. AAAI Press, (2020)Kernelized Heterogeneous Risk Minimization., , , , and . NeurIPS, page 21720-21731. (2021)NICO++: Towards Better Benchmarking for Domain Generalization., , , , , and . CVPR, page 16036-16047. IEEE, (2023)Deep Stable Learning for Out-of-Distribution Generalization., , , , , and . CVPR, page 5372-5382. Computer Vision Foundation / IEEE, (2021)Counterfactual Prediction for Bundle Treatment., , , , , , and . NeurIPS, (2020)NICO Challenge: Out-of-Distribution Generalization for Image Recognition Challenges., , , , , , , , , and 2 other author(s). ECCV Workshops (6), volume 13806 of Lecture Notes in Computer Science, page 433-450. Springer, (2022)DARING: Differentiable Causal Discovery with Residual Independence., , , , , and . KDD, page 596-605. ACM, (2021)A Theoretical Analysis on Independence-driven Importance Weighting for Covariate-shift Generalization., , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 24803-24829. PMLR, (2022)On Image Classification: Correlation v.s. Causality., , , and . CoRR, (2017)