Ordinal Embeddings

Ordinal Embeddings is a mathematical framework that represents ordinal data as vectors in a continuous space while preserving the inherent order relations among the elements.

25

Publications

1K

Citations

60

Authors

46

Institutions

Publications per year

2017–2026

6

Variants

Ordinal Embedding

Authors

60

  1. KJ
    Kevin Jamieson

    University of California, Berkeley, United States

    3 publications · 122 citations

    3

    h-index

  2. RD
    Robert D. Nowak

    University of Wisconsin–Madison, United States

    3 publications · 122 citations

    3

    h-index

  3. UV
    Ulrike von Luxburg

    Max Planck Society, Germany

    2 publications · 93 citations

    2

    h-index

  4. TT
    Tieniu Tan

    Institute of Automation, China

    2 publications · 176 citations

    2

    h-index

  5. RJ
    Rongrong Ji

    Xiamen University, China

    2 publications · 98 citations

    2

    h-index

1–5 of 60

Venues

  1. Journal of Symbolic Logic

    2 publications · 52 citations

    2

    h-index

  2. Journal of the Mathematical Society of Japan

    1 publications · 29 citations

    1

    h-index

  3. 1

    h-index

  4. The Florida AI Research Society

    Conference · 1 publications · 12 citations

    1

    h-index

  5. Transactions of the American Mathematical Society

    TRAN · 1 publications · 29 citations

    1

    h-index

1–5