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10 résultats
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triés par
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An Adaptive Test of Independence with Analytic Kernel EmbeddingsInternational Conference on Machine Learning (ICML), Aug 2017, Sydney, Australia. pp.1742-1751
Communication dans un congrès
hal-01385111v2
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Hard Shape-Constrained Kernel MachinesAdvances in Neural Information Processing Systems (NeurIPS-2020), Dec 2020, Vancouver (Virtual), Canada
Communication dans un congrès
hal-02625276v2
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Infinite-Task Learning with Vector-Valued RKHSs2018
Pré-publication, Document de travail
hal-01800203v1
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Characteristic and Universal Tensor Product KernelsJournal of Machine Learning Research, 2018, 18, pp.233
Article dans une revue
hal-01585727v3
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Kernel Regression for Vehicle Trajectory Reconstruction under Speed and Inter-vehicular Distance ConstraintsIFAC 2020 World Congress, Jul 2020, Virtuel, Germany
Communication dans un congrès
hal-03021643v1
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On Kernel Derivative Approximation with Random Fourier FeaturesInternational Conference on Artificial Intelligence and Statistics, Apr 2019, Naha, Japan
Communication dans un congrès
hal-01897996v3
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MONK -- Outlier-Robust Mean Embedding Estimation by Median-of-MeansICML 2019 - 36th International Conference on Machine Learning, Jun 2019, Long Beach, United States
Communication dans un congrès
hal-01705881v5
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Handling Hard Affine SDP Shape Constraints in RKHSs[Research Report] MINES ParisTech; Ecole Polytechnique. 2021
Rapport
hal-03098495v1
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A Linear-Time Kernel Goodness-of-Fit Test31st Conference on Neural Information Processing Systems (NIPS 2017),, Dec 2017, Long Beach, United States
Communication dans un congrès
hal-01527717v2
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Orlicz Random Fourier FeaturesJournal of Machine Learning Research, 2020, 21 (145), pp.1−37
Article dans une revue
hal-02418576v2
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