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Could you please suggest some lectures, books, or videos on how to choose a kernel function for Gaussian process regression in a multivaritate setting?

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David Duvenaud's kernel cookbook was a good starting place for me. His thesis, which is also linked on the webpage, is also an excellent resource.

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