A Measure-Theoretic Approach to Kernel Conditional Mean Embeddings

Park, Junhyung; Muandet, Krikamol

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A Measure-Theoretic Approach to Kernel Conditional Mean Embeddings

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Park, Junhyung
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Muandet, Krikamol
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

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https://doi.org/10.48550/arXiv.2002.03689
(Preprint)

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Park, J., & Muandet, K. (2021). A Measure-Theoretic Approach to Kernel Conditional Mean Embeddings. In H. Larochelle, M. Ranzato, R. Hadsell, & M. F. Balcan (Eds.), Advances in Neural Information Processing Systems 33 (pp. 21247-21259). Red Hook, NY: Curran Associates, Inc. Retrieved from https://proceedings.neurips.cc/paper/2020/hash/f340f1b1f65b6df5b5e3f94d95b11daf-Abstract.html.

Cite as: https://hdl.handle.net/21.11116/0000-000A-EFC1-F

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