Information-Theoretic Active Correlation Clustering
<|reference_start|>Information-Theoretic Active Correlation Clustering: We study correlation clustering where the pairwise similarities are not known in advance. For this purpose, we employ active learning to query pairwise similarities in a cost-efficient way. We propose a number of effective information-theoretic acquisition functions based on entropy and information gain. We extensively investigate the performance of our methods in different settings and demonstrate their superior performance compared to the alternatives.<|reference_end|>
@article{aronsson2024information-theoretic,
    title={Information-Theoretic Active Correlation Clustering},
    author={Linus Aronsson, Morteza Haghir Chehreghani},
    journal={arXiv preprint arXiv:2402.03587},
    year={2024},
    archivePrefix={arXiv},
    eprint={2402.03587},
    primaryClass={cs.LG stat.ML}
}