A Practical Riemannian Algorithm for Computing Dominant Generalized Eigenspace

Zhiqiang Xu, Ping Li 0001. A Practical Riemannian Algorithm for Computing Dominant Generalized Eigenspace. In Ryan P. Adams, Vibhav Gogate, editors, Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, UAI 2020, virtual online, August 3-6, 2020. pages 354, AUAI Press, 2020. [doi]

@inproceedings{Xu020-2,
  title = {A Practical Riemannian Algorithm for Computing Dominant Generalized Eigenspace},
  author = {Zhiqiang Xu and Ping Li 0001},
  year = {2020},
  url = {http://www.auai.org/uai2020/proceedings/354_main_paper.pdf},
  researchr = {https://researchr.org/publication/Xu020-2},
  cites = {0},
  citedby = {0},
  pages = {354},
  booktitle = {Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, UAI 2020, virtual online, August 3-6, 2020},
  editor = {Ryan P. Adams and Vibhav Gogate},
  publisher = {AUAI Press},
}