New pESTO method adds risk-driven early stopping to greedy kernel regression
Researchers introduce pESTO, an iterative p-greedy kernel regression approach that selects approximation nodes by minimizing point-wise error indicators such as the power function and uses risk-driven early stopping.
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- 2026-11-09 05:00 · arXiv stat.ML
pESTO: Iterative p-greedy kernel regression with risk-driven Early STOpping