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Prior Knowledge in Kernel Methods

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Prior Knowledge in Kernel Methods

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Few-shot Learning for Efficient and Effective Machine Learning Model Adaptation

Match Normalization: Learning-Based Point Cloud Registration for 6D Object Pose Estimation in the Real World

Bayes-optimal Learning of Deep Random Networks of Extensive-width

End-to-end kernel learning via generative random Fourier features

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Error scaling laws for kernel classification under source and capacity conditions

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The statistical complexity of early-stopped mirror descent

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