Some theory for ordinal embedding
Statistics Theory
2016-05-05 v2 Statistics Theory
Abstract
Motivated by recent work on ordinal embedding (Kleindessner and von Luxburg, 2014), we derive large sample consistency results and rates of convergence for the problem of embedding points based on triple or quadruple distance comparisons. We also consider a variant of this problem where only local comparisons are provided. Finally, inspired by (Jamieson and Nowak, 2011), we bound the number of such comparisons needed to achieve consistency.
Cite
@article{arxiv.1501.02861,
title = {Some theory for ordinal embedding},
author = {Ery Arias-Castro},
journal= {arXiv preprint arXiv:1501.02861},
year = {2016}
}