General Low-rank Matrix Optimization: Geometric Analysis and Sharper Bounds

Haixiang Zhang, Yingjie Bi, Javad Lavaei. General Low-rank Matrix Optimization: Geometric Analysis and Sharper Bounds. 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 27369-27380, 2021. [doi]

@inproceedings{ZhangBL21-4,
  title = {General Low-rank Matrix Optimization: Geometric Analysis and Sharper Bounds},
  author = {Haixiang Zhang and Yingjie Bi and Javad Lavaei},
  year = {2021},
  url = {https://proceedings.neurips.cc/paper/2021/hash/e60e81c4cbe5171cd654662d9887aec2-Abstract.html},
  researchr = {https://researchr.org/publication/ZhangBL21-4},
  cites = {0},
  citedby = {0},
  pages = {27369-27380},
  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},
}