Generalization Error Bound for Hyperbolic Ordinal Embedding
Atsushi Suzuki 1 Atsushi Nitanda 2 Jing Wang 1 Linchuan Xu 3 Marc Cavazza 1 Kenji Yamanishi 4
Abstract they are as consistent as possible with given ordinal data in
Hyperbolic ordinal embedding (HOE) represents the form of “entity i is more similar to entity j than to entity
entities as points in hyperbolic space so that they k.” Many ordinal embedding methods have been proposed
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