Quantum Entropy Scoring for Fast Robust Mean Estimation and Improved Outlier Detection

ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), pp. 6065-6075, 2019.

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Abstract:

We study two problems in high-dimensional robust statistics: robust mean estimation and outlier detection. In robust mean estimation the goal is to estimate the mean mu of a distribution on R-d given n independent samples, an epsilon-fraction of which have been corrupted by a malicious adversary. In outlier detection the goal is to assign...More

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