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

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]

@inproceedings{FariasLP21,
  title = {Near-Optimal Entrywise Anomaly Detection for Low-Rank Matrices with Sub-Exponential Noise},
  author = {Vivek F. Farias and Andrew A. Li and Tianyi Peng},
  year = {2021},
  url = {http://proceedings.mlr.press/v139/farias21a.html},
  researchr = {https://researchr.org/publication/FariasLP21},
  cites = {0},
  citedby = {0},
  pages = {3154-3163},
  booktitle = {Proceedings of the 38th International Conference on Machine Learning, ICML 2021, 18-24 July 2021, Virtual Event},
  editor = {Marina Meila and Tong Zhang 0001},
  volume = {139},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}