SQUEAK is an adaptive sampling algorithm for large-scale kernel ridge regression that achieves near-optimal space complexity by avoiding normalization and effective-dimension estimation.
Analysis of Nyström method with sequential ridge leverage scores
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Pack only the essentials: Adaptive dictionary learning for kernel ridge regression
SQUEAK is an adaptive sampling algorithm for large-scale kernel ridge regression that achieves near-optimal space complexity by avoiding normalization and effective-dimension estimation.