How and When Random Feedback Works: A Case Study of Low-Rank Matrix Factorization

Shivam Garg, Santosh S. Vempala. How and When Random Feedback Works: A Case Study of Low-Rank Matrix Factorization. In Gustau Camps-Valls, Francisco J. R. Ruiz, Isabel Valera, editors, International Conference on Artificial Intelligence and Statistics, AISTATS 2022, 28-30 March 2022, Virtual Event. Volume 151 of Proceedings of Machine Learning Research, pages 4070-4108, PMLR, 2022. [doi]

@inproceedings{GargV22,
  title = {How and When Random Feedback Works: A Case Study of Low-Rank Matrix Factorization},
  author = {Shivam Garg and Santosh S. Vempala},
  year = {2022},
  url = {https://proceedings.mlr.press/v151/garg22a.html},
  researchr = {https://researchr.org/publication/GargV22},
  cites = {0},
  citedby = {0},
  pages = {4070-4108},
  booktitle = {International Conference on Artificial Intelligence and Statistics, AISTATS 2022, 28-30 March 2022, Virtual Event},
  editor = {Gustau Camps-Valls and Francisco J. R. Ruiz and Isabel Valera},
  volume = {151},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}