Kernel Distributionally Robust Optimization: Generalized Duality Theorem and 
Stochastic Approximation

Zhu, Jia-Jie; Jitkrittum, Wittawat; Diehl, M.; Schölkopf, Bernhard

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Kernel Distributionally Robust Optimization: Generalized Duality Theorem and Stochastic Approximation

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Zhu, Jia-Jie
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Jitkrittum, Wittawat
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

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

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Zhu, J.-J., Jitkrittum, W., Diehl, M., & Schölkopf, B. (2021). Kernel Distributionally Robust Optimization: Generalized Duality Theorem and Stochastic Approximation. In Proceedings of The 24th International Conference on Artificial Intelligence and Statistics (AISTATS) (pp. 280-288). PMLR.

Cite as: https://hdl.handle.net/21.11116/0000-000F-EAF0-A

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