Regularized linear autoencoders recover the principal components, eventually

Xuchan Bao, James Lucas, Sushant Sachdeva, Roger B. Grosse. Regularized linear autoencoders recover the principal components, eventually. In Hugo Larochelle, Marc'Aurelio Ranzato, Raia Hadsell, Maria-Florina Balcan, Hsuan-Tien Lin, editors, Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual. 2020. [doi]

@inproceedings{BaoLSG20,
  title = {Regularized linear autoencoders recover the principal components, eventually},
  author = {Xuchan Bao and James Lucas and Sushant Sachdeva and Roger B. Grosse},
  year = {2020},
  url = {https://proceedings.neurips.cc/paper/2020/hash/4dd9cec1c21bc54eecb53786a2c5fa09-Abstract.html},
  researchr = {https://researchr.org/publication/BaoLSG20},
  cites = {0},
  citedby = {0},
  booktitle = {Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual},
  editor = {Hugo Larochelle and Marc'Aurelio Ranzato and Raia Hadsell and Maria-Florina Balcan and Hsuan-Tien Lin},
}