Asymptotic Bayes risk of semi-supervised learning with uncertain labeling
<|reference_start|>Asymptotic Bayes risk of semi-supervised learning with uncertain labeling: This article considers a semi-supervised classification setting on a Gaussian mixture model, where the data is not labeled strictly as usual, but instead with uncertain labels. Our main aim is to compute the Bayes risk for this model. We compare the behavior of the Bayes risk and the best known algorithm for this model. This comparison eventually gives new insights over the algorithm.<|reference_end|>
@article{leger2024asymptotic,
    title={Asymptotic Bayes risk of semi-supervised learning with uncertain
  labeling},
    author={Victor Leger and Romain Couillet},
    journal={arXiv preprint arXiv:2403.17767},
    year={2024},
    archivePrefix={arXiv},
    eprint={2403.17767},
    primaryClass={stat.ML cs.LG}
}