HanQin Cai, Jialin Liu 0003, Wotao Yin. Learned Robust PCA: A Scalable Deep Unfolding Approach for High-Dimensional Outlier Detection. In Marc'Aurelio Ranzato, Alina Beygelzimer, Yann N. Dauphin, Percy Liang, Jennifer Wortman Vaughan, editors, Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual. pages 16977-16989, 2021. [doi]
@inproceedings{CaiLY21,
title = {Learned Robust PCA: A Scalable Deep Unfolding Approach for High-Dimensional Outlier Detection},
author = {HanQin Cai and Jialin Liu 0003 and Wotao Yin},
year = {2021},
url = {https://proceedings.neurips.cc/paper/2021/hash/8d2355364e9a2ba1f82f975414937b43-Abstract.html},
researchr = {https://researchr.org/publication/CaiLY21},
cites = {0},
citedby = {0},
pages = {16977-16989},
booktitle = {Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual},
editor = {Marc'Aurelio Ranzato and Alina Beygelzimer and Yann N. Dauphin and Percy Liang and Jennifer Wortman Vaughan},
}