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Metric dimension reduction: A snapshot of the Ribe program

arXiv 1809.02376 ↗First posted 7 Sep 2018math.MG cs.DS math.FAcited by 3

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Abstract (arXiv)

The purpose of this article is to survey some of the context, achievements, challenges and mysteries of the field of metric dimension reduction, including new perspectives on major older results as well as recent advances.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). First posted on arXiv 7 Sep 2018.

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Citing papers per year: 2021: 2; 2022: 1.

3 papers.

  1. 2022Small Transformers Compute Universal Metric Embeddingscited by 12
  2. 2021Randomized Dimensionality Reduction for Facility Location and Single-Linkage Clusteringcited by 6
  3. 2021Embeddings and labeling schemes for A*cited by 4