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Robust Uncertainty Bounds in Reproducing Kernel Hilbert Spaces: A Convex Optimization Approach.
Paul Scharnhorst
Emilio Tanowe Maddalena
Yuning Jiang
Colin N. Jones
Published in:
IEEE Trans. Autom. Control. (2023)
Keyphrases
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convex optimization
reproducing kernel hilbert space
uniform convergence
low rank
total variation
loss function
upper bound
special case
kernel matrix
denoising
least squares
machine learning
gaussian process
data dependent
convex sets
lower bound
face recognition