Apr 23
Analysis of Nystrom method with sequential ridge leverage scores
★★★★★
significance 2/5
The paper introduces INK-ESTIMATE, a new algorithm designed to incrementally estimate ridge leverage scores for large-scale kernel ridge regression. This method allows for efficient subsampling of kernel matrices in a single pass with a fixed, small memory budget.
Why it matters
Efficient, single-pass approximation of leverage scores addresses the critical scalability bottleneck in large-scale kernel-based machine learning models.
Tags
#kernel ridge regression #nystrom method #machine learning algorithms #incremental learningRelated coverage
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