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Hyperparameter Learning for Conditional Kernel Mean Embeddings with Rademacher Complexity Bounds

Kelvin Hsu Richard Nock 1 Fabio Ramos
1 MEMIAD - Management, économie, modélisation, informatique et aide à la décision
UA - Université des Antilles : 2440
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Conference papers
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https://hal.univ-antilles.fr/hal-02083364
Contributor : Maximilian Hasler <>
Submitted on : Friday, March 29, 2019 - 1:44:49 AM
Last modification on : Tuesday, March 24, 2020 - 1:11:50 AM

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Kelvin Hsu, Richard Nock, Fabio Ramos. Hyperparameter Learning for Conditional Kernel Mean Embeddings with Rademacher Complexity Bounds. Machine Learning and Knowledge Discovery in Databases, 2018, Dublin, Ireland. pp.227-242, ⟨10.1007/978-3-030-10928-8_14⟩. ⟨hal-02083364⟩

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