Projection techniques to update the truncated SVD of evolving matrices with applications

Vasileios Kalantzis, Georgios Kollias, Shashanka Ubaru, Athanasios N. Nikolakopoulos, Lior Horesh, Kenneth L. Clarkson. Projection techniques to update the truncated SVD of evolving matrices with applications. In Marina Meila, Tong Zhang 0001, editors, Proceedings of the 38th International Conference on Machine Learning, ICML 2021, 18-24 July 2021, Virtual Event. Volume 139 of Proceedings of Machine Learning Research, pages 5236-5246, PMLR, 2021. [doi]

@inproceedings{KalantzisKUNHC21,
  title = {Projection techniques to update the truncated SVD of evolving matrices with applications},
  author = {Vasileios Kalantzis and Georgios Kollias and Shashanka Ubaru and Athanasios N. Nikolakopoulos and Lior Horesh and Kenneth L. Clarkson},
  year = {2021},
  url = {http://proceedings.mlr.press/v139/kalantzis21a.html},
  researchr = {https://researchr.org/publication/KalantzisKUNHC21},
  cites = {0},
  citedby = {0},
  pages = {5236-5246},
  booktitle = {Proceedings of the 38th International Conference on Machine Learning, ICML 2021, 18-24 July 2021, Virtual Event},
  editor = {Marina Meila and Tong Zhang 0001},
  volume = {139},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}