Unsupervised learning by a "softened" correlation game: duality and convergence

Kyle L. Luther, Runzhe Yang, H. Sebastian Seung. Unsupervised learning by a "softened" correlation game: duality and convergence. In Michael B. Matthews, editor, 53rd Asilomar Conference on Signals, Systems, and Computers, ACSCC 2019, Pacific Grove, CA, USA, November 3-6, 2019. pages 876-883, IEEE, 2019. [doi]

@inproceedings{LutherYS19,
  title = {Unsupervised learning by a "softened" correlation game: duality and convergence},
  author = {Kyle L. Luther and Runzhe Yang and H. Sebastian Seung},
  year = {2019},
  doi = {10.1109/IEEECONF44664.2019.9048957},
  url = {https://doi.org/10.1109/IEEECONF44664.2019.9048957},
  researchr = {https://researchr.org/publication/LutherYS19},
  cites = {0},
  citedby = {0},
  pages = {876-883},
  booktitle = {53rd Asilomar Conference on Signals, Systems, and Computers, ACSCC 2019, Pacific Grove, CA, USA, November 3-6, 2019},
  editor = {Michael B. Matthews},
  publisher = {IEEE},
  isbn = {978-1-7281-4300-2},
}