Improved Active Learning via Dependent Leverage Score Sampling

no code implementations • 8 Oct 2023 • Atsushi Shimizu, Xiaoou Cheng, Christopher Musco, Jonathan Weare

We show how to obtain improved active learning methods in the agnostic (adversarial noise) setting by combining marginal leverage score sampling with non-independent sampling strategies that promote spatial coverage.

Active Learning Uncertainty Quantification