Adaptive Region-Based Active Learning

18 Feb 2020Corinna CortesGiulia DeSalvoClaudio GentileMehryar MohriNingshan Zhang

We present a new active learning algorithm that adaptively partitions the input space into a finite number of regions, and subsequently seeks a distinct predictor for each region, both phases actively requesting labels. We prove theoretical guarantees for both the generalization error and the label complexity of our algorithm, and analyze the number of regions defined by the algorithm under some mild assumptions... (read more)

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