2014 COLT COLT 2014

Uniqueness of Ordinal Embedding

Abstract

Ordinal embedding refers to the following problem: all we know about an unknown set of points x_1,\ldots, x_n ∈\mathbbR^d are ordinal constraints of the form \|x_i - x_j\| < \|x_k - x_l\|; the task is to construct a realization y_1,\ldots, y_n ∈\mathbbR^d that preserves these ordinal constraints. It has been conjectured since the 1960ies that upon knowledge of all ordinal constraints a large but finite set of points can be approximately reconstructed up to a similarity transformation. The main result of our paper is a formal proof of this conjecture.

🌉 Interdisciplinary Bridge — Machine Learning and Mathematics & Optimization
📈 Trend Setter — Geometry
🧭 Keyword Pioneer — ordinal embedding
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Robotics, Speech & Audio