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We address the consistency of a kernel ridge regression estimate of the conditional mean embedding (CME), which is an embedding of the conditional distribution of $Y$ given $X$ into a target reproducing kernel Hilbert space $\mathcal{H}_Y$.
Applied Functional Analysis
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A course in functional analysis
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The linear conditional expectation in Hilbert space
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Sobolev norm learning rates for conditional mean embeddings
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