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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:
CoRR (2021)
Keyphrases
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convex optimization
reproducing kernel hilbert space
uniform convergence
low rank
total variation
kernel matrix
loss function
convex sets
kernel methods
learning theory
multiscale
kernel function
image restoration
higher order
worst case
high resolution
lower bound
reinforcement learning