Online Probabilistic Metric Embedding: A General Framework for Bypassing Inherent Bounds

Yair Bartal, Nova Fandina, Seeun William Umboh. Online Probabilistic Metric Embedding: A General Framework for Bypassing Inherent Bounds. In Shuchi Chawla 0001, editor, Proceedings of the 2020 ACM-SIAM Symposium on Discrete Algorithms, SODA 2020, Salt Lake City, UT, USA, January 5-8, 2020. pages 1538-1557, SIAM, 2020. [doi]

@inproceedings{BartalFU20,
  title = {Online Probabilistic Metric Embedding: A General Framework for Bypassing Inherent Bounds},
  author = {Yair Bartal and Nova Fandina and Seeun William Umboh},
  year = {2020},
  doi = {10.1137/1.9781611975994.95},
  url = {https://doi.org/10.1137/1.9781611975994.95},
  researchr = {https://researchr.org/publication/BartalFU20},
  cites = {0},
  citedby = {0},
  pages = {1538-1557},
  booktitle = {Proceedings of the 2020 ACM-SIAM Symposium on Discrete Algorithms, SODA 2020, Salt Lake City, UT, USA, January 5-8, 2020},
  editor = {Shuchi Chawla 0001},
  publisher = {SIAM},
  isbn = {978-1-61197-599-4},
}