1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2023
Nonparametric active learning for cost-sensitive classification
Boris Ndjia Njike, Xavier Siebert
Cost-sensitive learning is a common type of machine learning problem where different errors of prediction incur different costs. In this paper, we design a generic nonparametric ac…
cs.LG2021★ 1 cited
Nonparametric adaptive active learning under local smoothness condition
Boris Ndjia Njike, Xavier Siebert
Active learning is typically used to label data, when the labeling process is expensive. Several active learning algorithms have been theoretically proved to perform better than th…
cs.LG2020★ 1 cited
K-NN active learning under local smoothness assumption
Boris Ndjia Njike, Xavier Siebert
There is a large body of work on convergence rates either in passive or active learning. Here we first outline some of the main results that have been obtained, more specifically i…