Develops a nonparametric sparse online algorithm to learn the Koopman operator iteratively via stochastic approximation with explicit complexity control and convergence guarantees in misspecified RKHS settings via conditional mean embeddings.
Nonparamet- ric approximation of conditional expectation opera- tors
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Derives adaptive Sobolev-norm learning rates for conditional mean embeddings in misspecified RKHS settings, achieving uniform convergence in some regimes.
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Sobolev Norm Learning Rates for Conditional Mean Embeddings
Derives adaptive Sobolev-norm learning rates for conditional mean embeddings in misspecified RKHS settings, achieving uniform convergence in some regimes.