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Active Learning for Single Neuron Models with Lipschitz Non-Linearities
Namely, we can collect samples via statistical \emph{leverage score sampling}, which has been shown to be near-optimal in other active learning scenarios.
Subspace Embeddings Under Nonlinear Transformations
We consider low-distortion embeddings for subspaces under \emph{entrywise nonlinear transformations}.
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