Erik D. Demaine, Adam Hesterberg, Frederic Koehler, Jayson Lynch, John Urschel. Multidimensional Scaling: Approximation and Complexity. 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 2568-2578, PMLR, 2021. [doi]
@inproceedings{DemaineHKLU21,
title = {Multidimensional Scaling: Approximation and Complexity},
author = {Erik D. Demaine and Adam Hesterberg and Frederic Koehler and Jayson Lynch and John Urschel},
year = {2021},
url = {http://proceedings.mlr.press/v139/demaine21a.html},
researchr = {https://researchr.org/publication/DemaineHKLU21},
cites = {0},
citedby = {0},
pages = {2568-2578},
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},
}