QUE-scoring via quantum entropy regularization achieves optimal robust mean estimation in Õ(nd) time and outperforms prior outlier detection methods in experiments.
Efficient algorithms for mining outliers from large data sets
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Quantum Entropy Scoring for Fast Robust Mean Estimation and Improved Outlier Detection
QUE-scoring via quantum entropy regularization achieves optimal robust mean estimation in Õ(nd) time and outperforms prior outlier detection methods in experiments.