2022
Sobolev Norm Learning Rates for Conditional Mean Embeddings
AISTATS 2022poster
We develop novel learning rates for conditional mean embeddings by applying the theory of interpolation for reproducing kernel Hilbert spaces (RKHS). We derive explicit, adaptive convergence rates for the sample estimator under the misspecifed setting, where the target operator is not Hilbert-Schmid…