On Riemannian Optimization over Positive Definite Matrices with the Bures-Wasserstein Geometry

Andi Han, Bamdev Mishra, Pratik Kumar Jawanpuria, Junbin Gao. On Riemannian Optimization over Positive Definite Matrices with the Bures-Wasserstein Geometry. 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 8940-8953, 2021. [doi]

@inproceedings{HanMJG21,
  title = {On Riemannian Optimization over Positive Definite Matrices with the Bures-Wasserstein Geometry},
  author = {Andi Han and Bamdev Mishra and Pratik Kumar Jawanpuria and Junbin Gao},
  year = {2021},
  url = {https://proceedings.neurips.cc/paper/2021/hash/4b04b0dcd2ade339a3d7ce13252a29d4-Abstract.html},
  researchr = {https://researchr.org/publication/HanMJG21},
  cites = {0},
  citedby = {0},
  pages = {8940-8953},
  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},
}