Near-Optimal Entrywise Anomaly Detection for Low-Rank Matrices with Sub-Exponential Noise - researchr publication authors

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Vivek F. Farias, Andrew A. Li, Tianyi Peng. Near-Optimal Entrywise Anomaly Detection for Low-Rank Matrices with Sub-Exponential Noise. In Marina Meila, Tong Zhang 0001, editors, Proceedings of the 38th International Conference on Machine Learning, ICML 2021, 18-24 July 2021, Virtual Event. Volume 139 of Proceedings of Machine Learning Research, pages 3154-3163, PMLR, 2021. [doi]

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