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Probable Domain Generalization via Quantile Risk Minimization

MPS-Authors

Eastwood ,  Cian
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;
External Organizations;

Singh,  Shashank
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

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von Kügelgen,  Julius
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;
External Organizations;

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Schölkopf,  Bernhard       
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Citation

Eastwood, C., Robey, A., Singh, S., von Kügelgen, J., Hassani, H., Pappas, G. J., et al. (2022). Probable Domain Generalization via Quantile Risk Minimization. In S. Koyejo, S. Mohamed, A. Agarwal, D. Belgrave, K. Cho, & A. Oh (Eds.), Advances in Neural Information Processing Systems 35 (NeurIPS 2022) (pp. 17340-17358). Red Hook, NY: Curran Associates, Inc. Retrieved from https://proceedings.neurips.cc/paper_files/paper/2022/hash/6f11132f6ecbbcafafdf6decfc98f7be-Abstract-Conference.html.


Cite as: https://hdl.handle.net/21.11116/0000-000F-EC64-7
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